Description:FIELD OF THE INVENTION

[0001] The present invention relates to an adaptive street lighting system in dense fog that is capable of automatically adjusting the lighting intensity of the street based on changing environmental conditions, such as fog, thus enhancing visibility and preventing road accidents.

BACKGROUND OF THE INVENTION

[0002] Street lighting is essential for ensuring public safety, security, and convenience in urban and rural areas. Properly illuminated streets prevent accidents by improving visibility for drivers, cyclists, and pedestrians, especially at night. The street lighting also plays a crucial role in deterring crime, as well-lit areas reduce opportunities for unlawful activities and increase the sense of security among residents. Additionally, street lighting supports social and economic activities by allowing businesses to operate after dark and encouraging people to use public spaces safely in the evening. Overall, street lighting is a key component of modern infrastructure that enhances the quality of life and promotes a safe, active, and connected community.

[0003] Traditional methods of street lighting assistance in dense fog typically involve using high-intensity static lights to improve visibility. These lights operate at fixed brightness levels and lack responsiveness to real-time environmental changes. In some cases, reflective road markers or fog lights are used to guide drivers. The main drawback of traditional street lighting in dense fog is the inability to adapt to changing environmental conditions. Fixed-intensity lights cause glare or insufficient illumination, reducing visibility instead of improving it. These systems also lack the ability to detect traffic, fog density, or pedestrian movement, leading to increased risk of accidents and poor energy efficiency during low or no traffic situations.

[0004] US4200904A discloses a solar powered street lighting system that is totally independent of any external power supply. Solar panels are connected in such a manner to charge a maintenance-free storage battery with sufficient capacity to light street lights and/or traffic signals. An auxiliary generator may also be provided having a wind driven vane for also charging the battery if sufficient sun light is not available.

[0005] EP0574359A1 discloses a street-lamp comprising a supporting member, equipped with two or more conventional lighting units, and one or more fog light units, fastened to said supporting member at a distance from the ground not less than the maximum height of a truck trailer, said fog light units being dimensioned and arranged such that beams of light projected from said fog light units form angles comprised from 0 to 90 degrees upwards with respect to a plane parallel to the ground and passing through the relevant light source.

[0006] Conventionally, many systems have been developed for providing street lighting assistance, but these existing systems lack in displaying safe speed limits on the street to nearby drivers during dense fog conditions to reduce the risk of accidents and improve overall road safety and also do not provide extra lighting in high fog condition. In addition, these systems fail in preventing animals or pedestrians from entering the road when there is a risk of collision with an approaching vehicle in low-visibility conditions.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to be capable of displaying safe speed limits on the street to nearby drivers during dense fog conditions to reduce the risk of accidents and improve overall road safety. Additionally, the developed system needs to be capable of preventing animals or pedestrians from entering the road when there is a risk of collision with an approaching vehicle in low-visibility conditions.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a system that is capable of automatically adjusting the lighting intensity of the street based on changing environmental conditions, such as fog, thus enhancing visibility and preventing road accidents.

[0010] Another object of the present invention is to develop a system that is capable of displaying safe speed limits on the street to nearby drivers during dense fog conditions, thus reducing the risk of accidents and improving overall road safety.

[0011] Another object of the present invention is to develop a system that is capable of preventing animals or pedestrians from entering the road when there is a risk of collision with an approaching vehicle, enhancing overall road safety in low-visibility conditions.

[0012] Another object of the present invention is to develop a system that is capable of emitting directional ultrasonic sound waves in high fog conditions to ensure optimal fog dispersion and provide extra lighting during high fog conditions to promote high-visibility.

[0013] Yet another object of the present invention is to develop a system that is capable of predicting the onset of fog and accordingly adjusting the street lighting levels to improve visibility before conditions worsen, thereby reducing the risk of accidents.

[0014] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0015] The present invention relates to an adaptive street lighting system in dense fog that is capable of displaying safe speed limits on the street to nearby drivers during dense fog conditions, thus reducing the risk of accidents and improving overall road safety.

[0016] According to an aspect of the present invention, an adaptive street lighting system in dense fog comprises of a fog sensor works in conjunction with a light dependent resistor (LDR) sensor that is mounted at the front top periphery of a street light pole to monitor fog and ambient light levels in vicinity of the pole, the processing module automatically adjusts the street lighting based on the ambient light levels detected by the LDR sensor, upon detection of natural light, the street light turns off and upon detection of fog by the fog sensor, the processing module automatically adjusts the intensity of the streetlight, a round lens tray is positioned in vicinity of lighting enclosure of the pole to adjust the light beam pattern, the round lens tray consists of a plurality of lenses of varying refractive indexes, the round lens tray includes a plurality of lenses of varying refractive indexes, the lens tray is connected to a rack of a rack and pinion housed in the upper section of the pole near the light enclosure, as the processing module actuates the pinion, the rack moves linearly to move the round tray of lenses for adjusting the light beam pattern according to the desired light beam pattern, a millimeter-wave radar in conjunction with an infrared (IR) camera is installed on the pole to detect vehicle density near the pole, the millimeter-wave radar and the infrared (IR) camera are configured to detect vehicle density in dense fog conditions, upon detection of high vehicle density, the processing module activates a 3D holographic projector that is mounted on top of the pole to display safe speed limit for drivers of nearby vehicles to avoid accidents in dense fog conditions, the millimeter-wave radar and the infrared (IR) camera are also configured to detect stationary vehicles in vicinity of the pole, upon detection of a stationary vehicle, the processing module activates the holographic projector to display warning message to drivers of nearby vehicles to avoid accidents in dense fog conditions, additional motorized light enclosure panels are integrated at top of the pole to provide more light in dense fog conditions, the additional motorized light enclosure panels are mounted on cascading slider, the slider is integrated at top of the pole, upon detection of fog exceeding a predetermined threshold, the processing module actuates the cascading slider to extend and deploy the additional lights to illuminate the complete street width, the additional light panels are also integrated with laser projectors to project visible lines onto the street surface during fog to assist drivers in lane adherence.

[0017] According to another aspect of the present invention, the system further comprises of an ultrasonic sound wave generator integrated in the pole to disperse dense fog, the ultrasonic generator emits directional ultrasonic sound waves toward the road surface, these high-frequency sound waves cause fog particles to collide and coalesce, forming larger, heavier droplets that settle onto the ground, effectively reducing the fog density in the air, based on fog intensity determined by the fog sensor, the processing module adjusts the intensity and frequency of the ultrasonic waves to ensure optimal fog dispersion under varying fog conditions, a safety barrier module is integrated into the street light pole, the module includes cascading horizontal plates that are mounted on circular guiding rails, the circular rails are installed around the bottom periphery of the pole to enable directional orientation of the horizontal plates that slide and extend horizontally in the desired direction , upon detection by the IR camera of an animal or person approaching the road to cross, the processing module evaluates the proximity of incoming vehicle, on determination that vehicle is approaching at a speed that poses a risk, the cascading plate extends horizontally, thus forming a temporary side barrier to prevent the animal or pedestrian from stepping onto the road, a Bluetooth low energy module is installed on each street light forming a mesh network of all street lights to enable communication among them, upon detection by the street light pole that it is safe for an animal/pedestrian to cross the road based on the distance of an approaching vehicle, it allows them to cross and triggers a coordinated response with nearby poles using the BLE mesh network, the poles situated before the pole where the animal/person is crossing the road, on receiving this communication, the cascading plates extend onto the road, forming a temporary barrier to prevent vehicles from approaching too quickly, these poles also activate flashing strobe warning lights to alert drivers of the pedestrian or animal crossing ahead, an IoT module is integrated into the street light pole to receive updates about the weather conditions in areas in vicinity of the pole, the IoT module is configured to receive weather updates in real time, using (ML) models trained on local weather and traffic data, the IoT module predicts the onset of fog and proactively adjusts the lighting levels to improve visibility before conditions worsen.

[0018] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of an adaptive street lighting system in dense fog.

DETAILED DESCRIPTION OF THE INVENTION

[0020] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0021] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0022] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0023] The present invention relates to an adaptive street lighting system in dense fog that is capable of predicting the onset of fog and accordingly adjusting the street lighting levels to improve visibility before conditions worsen, thereby reducing the risk of accidents.

[0024] Referring to Figure 1, an isometric view of an adaptive street lighting system in dense fog is illustrated, comprising a street light pole 101, a round lens tray 102 positioned in vicinity of lighting enclosure of the pole 101, a rack and pinion 103 housed in the upper section of the pole 101, a millimeter-wave radar 104 in conjunction with an infrared (IR) camera 105 is installed on the pole 101, a 3D holographic projector 106 mounted on top of the pole 101, additional motorized light enclosure panels 107 are integrated at top of the pole 101, the additional motorized light enclosure panels 107 are mounted on cascading slider 108, an ultrasonic sound wave generator 109 is integrated in the pole 101, cascading horizontal plates 110 mounted on circular guiding rails 111.

[0025] A fog sensor in conjunction with a light-dependent resistor (LDR) sensor is mounted at the front top periphery of a street light pole 101 to monitor fog and ambient light levels in the vicinity of the pole 101. The fog sensor operates using the optical scattering principle. Inside the sensor, an infrared LED continuously emits a focused beam of light into the surrounding atmosphere. In clear air, minimal scattering occurs, and the light passes through undisturbed. However, when fog is present, tiny water droplets suspended in the air scatter the emitted light. A photodetector, strategically positioned at an angle from the emitter, captures this scattered light. The intensity of the received scattered light increases with the density of fog particles. This data is then converted into electrical signals and processed to quantify the fog concentration near the pole 101.

[0026] The light dependent resistor (LDR) sensor functions based on the photoconductive principle, which allows it to detect ambient light levels around the pole 101. The sensor is made of a semiconductive material whose resistance decreases as the light intensity increases. During daytime or in the presence of strong artificial light, photons strike the LDR's surface, exciting electrons and reducing the resistance. Conversely, in low-light or nighttime conditions, fewer photons are available, leading to increased resistance. This variation in resistance is fed into a processing module, which interprets the change as a measure of ambient light intensity.

[0027] The processing module is embedded with machine learning (ML) protocols that automatically adjusts the street lighting based on the ambient light levels detected by the LDR sensor. Upon detection of natural light, the street light turns off and upon detection of fog by the fog sensor, the processing module automatically adjusts the intensity of the streetlight. The processing module embedded with machine learning (ML) protocols functions as the intelligent control unit of the street lighting system. The module continuously receives real-time input signals from the LDR and fog sensors. When the LDR detects sufficient natural light, the sensor’s resistance drops, and this change is interpreted by the processing module to classify the condition as daytime. The module then triggers a signal to turn off the streetlight, conserving energy. Simultaneously, the fog sensor transmits data on the intensity of scattered infrared light, which the module analyzes to assess fog density. Using trained ML models, the module identifies patterns in sensor data to distinguish between normal weather and foggy conditions. Upon detecting fog, the module computes the required light intensity needed to maintain visibility and adjusts the streetlight's brightness accordingly through current control.

[0028] A round lens tray 102 is positioned in the vicinity of lighting enclosure of the pole 101 to adjust the light beam pattern. The round lens tray 102 consists of a plurality of lenses of varying refractive index. The round lens tray 102 is designed to regulate and adapt the light beam pattern emitted from the streetlight based on real-time environmental conditions. The plurality of lenses in the tray 102 varies in their ability to bend and spread light, allowing for precise control over the beam’s focus and dispersion.

[0029] The lens tray 102 is connected to a rack of a rack and pinion 103 that is housed in the upper section of the pole 101 near the light enclosure. As the processing module actuates the pinion, the rack moves linearly to move the round tray 102 of lenses for adjusting the light beam pattern according to the desired light beam pattern. The rack and pinion 103 is used to precisely rotate the round lens tray 102 for adjusting the light beam pattern of the streetlight. The rack, a straight toothed bar, is mechanically linked to the lens tray 102, while the pinion, a circular gear is actuated by the processing module via a small motor. When the processing module determines a need to change the beam pattern, such as in response to fog or varying ambient light, the module activates the motor to move the rack linearly. As the rack moves linearly, it moves the attached lens tray 102, positioning the lens with the appropriate refractive index in front of the light source.

[0030] A millimeter-wave radar 104 in conjunction with an infrared (IR) camera 105, mounted on the pole 101, detects vehicle density near the pole 101 in dense fog conditions. The millimeter-wave radar 104 operates by emitting high-frequency electromagnetic waves, typically in the 30 to 300 GHz range, which are well-suited for penetrating dense fog and other adverse weather conditions. The radar 104 consists of a transmitter that sends out millimeter-wave signals and a receiver that captures the reflected signals bouncing back from nearby vehicles. As these signals return, the radar 104 measures their time delay and frequency shift to calculate the distance, speed, and movement direction of vehicles around the pole 101. As millimeter waves effectively penetrate fog without significant signal degradation, the radar 104 provides accurate real-time data on vehicle density and traffic flow, even in low-visibility environments.

[0031] The processing module activates a 3D holographic projector 106 upon detection of high vehicle density. The 3D holographic projector 106 is mounted on top of the pole 101 to display the safe speed limit for drivers of nearby vehicles to avoid accidents in dense fog conditions. The holographic projector 106 creates three-dimensional image that appears to float in space by utilizing principles of light diffraction and interference which begins with a coherent light source splits into two beams which illuminates the recording medium. When these beams intersect, they create an interference pattern that encodes the light's amplitude and phase information on a medium like holographic film. To visualize the hologram, this recorded pattern is illuminated again with coherent light, recreating a light field that mimics the original object’s light field, allowing viewers to see a 3D image from various angles. Hence, the holographic projector 106 displays the safe speed limit for drivers of nearby vehicles to avoid accidents in dense fog conditions.

[0032] The millimeter-wave radar 104 and the infrared (IR) camera 105 are also configured to detect stationary vehicles in the vicinity of the pole 101. Upon detection of a stationary vehicle, the processing module activates the holographic projector 106 to display a warning message to drivers of nearby vehicles to avoid accidents in dense fog conditions. Additional motorized light enclosure panels 107 are integrated at the top of the pole 101 to provide more light in dense fog conditions. The additional motorized light enclosure panels 107 are designed to enhance illumination during dense fog conditions. These motorized light enclosure panels 107 house supplementary high-intensity LED units enclosed within weather-resistant casings.

[0033] The additional motorized light enclosure panels 107 are mounted on a cascading slider 108. The slider 108 is integrated at the top of the pole 101. Upon detection of fog exceeding a predetermined threshold, the processing module provides commands to the linear actuator of the cascading slider 108 for actuating the slider 108 to extend and deploy the additional lights to illuminate the complete street width. The cascading slider 108 is a multi-tiered sliding assembly that extends or retracts in sequential stages, with each stage moving independently yet interconnectedly. The cascading slider 108 consists of multiple nested segments or rails, which upon actuation, the first segment initiates movement, causing the subsequent segments to extend or collapse in a cascading manner for smooth, progressive extension or retraction of the slider 108 in order to extend and deploy the additional lights to illuminate the complete street width.

[0034] The additional light panels 107 are also integrated with laser projectors to project visible lines onto the street surface during fog to assist drivers in lane adherence. Each laser projector consists of a laser diode that emits a focused beam of visible light, preferably in the red or green spectrum, which is highly perceptible even in low-visibility environments. The beam is directed through a collimating lens and shaped using cylindrical optical elements to form clear, continuous lines on the street surface. These lines act as artificial lane markers, guiding drivers along their path when traditional road markings become obscured by fog. When fog conditions are detected by the fog sensor, the processing module activates the laser projectors, adjusting their orientation using micro-servos to align the projected lines accurately with the road layout. This ensures high-contrast visual cues directly on the road surface.

[0035] An ultrasonic sound wave generator 109 is mounted on the pole 101 to disperse dense fog. The ultrasonic generator 109 emits directional ultrasonic sound waves toward the road surface. These high-frequency sound waves cause fog particles to collide and coalesce, forming larger, heavier droplets that settle onto the ground, effectively reducing the fog density in the air. The ultrasonic sound wave generator 109 operates by emitting high-frequency sound waves, directed toward the road surface to actively disperse dense fog. The ultrasonic sound wave generator 109 consists of a piezoelectric transducer that converts electrical energy into mechanical vibrations, producing ultrasonic waves. These waves are focused through a directional acoustic horn to ensure targeted propagation toward the fog-affected area. As the ultrasonic waves travel through the air, they create rapid pressure fluctuations that cause suspended microdroplets in the fog to oscillate and move. This induced motion increases the chances of collision among the droplets, where smaller fog particles merge to form larger, heavier droplets. These larger droplets are unable to remain suspended in the air and consequently settle onto the ground, effectively clearing the airspace of fog. Based on fog intensity determined by the fog sensor, the processing module adjusts the intensity and frequency of the ultrasonic waves to ensure optimal fog dispersion under varying fog conditions.

[0036] A safety barrier module is integrated into the street light pole 101. The safety barrier module includes cascading horizontal plates 110 that are mounted on circular guiding rails 111. The circular rails 111 are installed around the bottom periphery of the pole 101, allowing them to rotate the horizontal cascading that slide and extend horizontally upon deployment. The circular guiding rails 111 serve as the structural track that facilitates the directional deployment of the cascading horizontal plates 110. These rails 111 are designed with embedded grooves that align with corresponding guide pins attached to the edges of the horizontal plates 110. When the plates 110 are actuated, these guide pins slide along the curved rails 111, ensuring that each plate 110 moves outward evenly and maintains the orientation. The circular geometry allows for radial deployment around the pole 101, offering uniform coverage and stability. The rails 111 are typically made from durable, low-friction materials to reduce wear and ensure reliable operation, even under harsh environmental conditions.

[0037] Upon detection by the IR camera 105 of an animal or person approaching the road to cross, the processing module evaluates the proximity of the incoming vehicle. On determination that the vehicle is approaching at a speed that poses a risk, the cascading plate 110 extends horizontally. The cascading horizontal plates 110 in the safety barrier module are designed to provide a deployable protective shield around the base of the street light pole 101. These plates 110 are stacked in a nested arrangement, allowing each plate 110 to extend outward sequentially when deployed. Each plate 110 is shaped to fit under the one above it, enabling a compact storage profile when retracted. When activation is triggered, the processing module engages a motorized actuator that pushes the innermost plate 110 outward. As the initial plate 110 moves, it pulls the subsequent plates 110 along in a cascading motion, creating a continuous barrier that extends outward from the pole 101. Hence, forming a temporary side barrier to prevent the animal or pedestrian from stepping onto the road.

[0038] A Bluetooth low energy module is installed on each street light forming a mesh network of all street lights to enable communication among them. Upon detection by the street light pole 101 that it is safe for an animal/pedestrian to cross the road based on the distance of an approaching vehicle, it allows them to cross and triggers a coordinated response with nearby poles 101 using the BLE mesh network. The Bluetooth Low Energy (BLE) module functions as a node in a mesh communication network, enabling seamless and energy-efficient data exchange among all the poles 101. The BLE module consists of a radio transceiver and memory that allow it to send, receive, and process small data packets over short distances. When a street light pole 101 detects that it is safe for a pedestrian or animal to cross, the pole 101 uses the BLE module to broadcast a low power signal containing the crossing status and relevant vehicle distance data. This signal is received by nearby poles 101 within range, which then relay the information further across the mesh network. The mesh topology allows each pole 101 to act as both a transmitter and repeater, enhancing communication reliability even if some nodes are temporarily inactive.

[0039] The poles 101 situated before the pole 101 where the animal/person is crossing the road, on receiving this communication, the cascading plates 110 extend onto the road, forming a temporary barrier to prevent vehicles from approaching too quickly. These poles 101 also activate flashing strobe warning lights to alert drivers of the pedestrian or animal crossing ahead. An IoT module is integrated into the street light pole 101 to receive updates about the weather conditions in areas in the vicinity of the pole 101. The IoT module is configured to receive weather updates in real time, using (ML) models trained on local weather and traffic data.

[0040] The IoT module predicts the onset of fog and proactively adjusts the lighting levels to improve visibility before conditions worsen. The IoT module serves as a smart interface for real-time weather monitoring and predictive lighting control. The IoT module consists of a microcontroller, wireless communication unit such as Wi-Fi, and storage for running lightweight machine learning (ML) models. The module continuously receives weather data from nearby IoT-enabled sources, such as roadside weather stations or cloud-based platforms. Using ML models trained on localized weather and traffic patterns, the module analyzes incoming data to detect trends indicating the early formation of fog. When the model predicts a high likelihood of fog onset, the IoT module communicates with the processing module to proactively increase streetlight brightness. This predictive capability enables the lighting system to respond before visibility deteriorates, enhancing road safety and minimizing delays caused by poor conditions.

[0041] For supplying power to electrical and electronically operated components, a battery is associated with the system. The battery powers electrical and electronic components by converting stored chemical energy into electrical energy. The battery’s terminals provide a voltage difference, allowing current to flow through circuits that supplies consistent energy to actuate and operate components like motors, sensors and the processing module, ensuring seamless functionality.

[0042] The present invention works best in the following manner, where the fog sensor works in conjunction with the light dependent resistor (LDR) sensor that is mounted at the front top periphery of the street light pole 101 to monitor fog and ambient light levels in vicinity of the pole 101. The processing module automatically adjusts the street lighting based on the ambient light levels detected by the LDR sensor. Upon detection of natural light, the street light turns off and upon detection of fog by the fog sensor, the processing module automatically adjusts the intensity of the streetlight. The round lens tray 102 is positioned in vicinity of lighting enclosure of the pole 101 to adjust the light beam pattern. The round lens tray 102 consists of the plurality of lenses of varying refractive indexes. The lens tray 102 is connected to the rack of the rack and pinion 103 that is housed in the upper section of the pole 101 near the light enclosure. As the processing module actuates the pinion, the rack moves linearly to move the round tray 102 of lenses for adjusting the light beam pattern according to the desired light beam pattern. The millimeter-wave radar 104 in conjunction with the infrared (IR) camera 105 is installed on the pole 101 to detect vehicle density near the pole 101. The millimeter-wave radar 104 and the infrared (IR) camera 105 are configured to detect vehicle density in dense fog conditions. Upon detection of high vehicle density, the processing module activates the 3D holographic projector 106 that is mounted on top of the pole 101 to display safe speed limit for drivers of nearby vehicles to avoid accidents in dense fog conditions. The millimeter-wave radar 104 and the infrared (IR) camera 105 are also configured to detect stationary vehicles in vicinity of the pole 101. Upon detection of a stationary vehicle, the processing module activates the holographic projector 106 to display warning message to drivers of nearby vehicles to avoid accidents in dense fog conditions. Additional motorized light enclosure panels 107 are integrated at top of the pole 101 to provide more light in dense fog conditions. The additional motorized light enclosure panels 107 are mounted on cascading slider 108. The slider 108 is integrated at the top of the pole 101. Upon detection of fog exceeding the predetermined threshold, the processing module actuates the cascading slider 108 to extend and deploy the additional lights to illuminate the complete street width.

[0043] In continuation, the additional light panels 107 are also integrated with laser projectors to project visible lines onto the street surface during fog to assist drivers in lane adherence. The ultrasonic sound wave generator 109 is integrated in the pole 101 to disperse dense fog. The ultrasonic generator 109 emits directional ultrasonic sound waves toward the road surface. These high-frequency sound waves cause fog particles to collide and coalesce, forming larger, heavier droplets that settle onto the ground, effectively reducing the fog density in the air. Based on fog intensity determined by the fog sensor, the processing module adjusts the intensity and frequency of the ultrasonic waves to ensure optimal fog dispersion under varying fog conditions. The safety barrier module is integrated into the street light pole 101. The module includes cascading horizontal plates 110 that are mounted on circular guiding rails 111. The circular rails 111 are installed around the bottom periphery of the pole 101 allowing them to slide and extend horizontally as needed. Upon detection by the IR camera 105 of the animal or person approaching the road to cross, the processing module evaluates the proximity of incoming vehicle. On determination that vehicle is approaching at the speed that poses the risk, the cascading plate 110 extends horizontally, thus forming the temporary side barrier to prevent the animal or pedestrian from stepping onto the road. The Bluetooth low energy module is installed on each street light forming the mesh network of all street lights to enable communication among them. Upon detection by the street light pole 101 that it is safe for the animal/pedestrian to cross the road based on the distance of the approaching vehicle, it allows them to cross and triggers the coordinated response with nearby poles 101 using the BLE mesh network. The poles 101 situated before the pole 101 where the animal/person is crossing the road, on receiving this communication extend cascading plates 110 onto the road, forming the temporary barrier to prevent vehicles from approaching too quickly. These poles 101 also activate flashing strobe warning lights to alert drivers of the pedestrian or animal crossing ahead. The IoT module is integrated into the street light pole 101 to receive updates about the weather conditions in areas in vicinity of the pole 101. The IoT module is configured to receive weather updates in real time, using (ML) models trained on local weather and traffic data. The IoT module predicts the onset of fog and proactively adjusts the lighting levels to improve visibility before conditions worsen.

[0044] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1. An adaptive street lighting system in dense fog comprising:
a. A fog sensor in conjunction with a light dependent resistor (LDR) sensor is mounted at the front top periphery of a street light pole 101 to monitor fog and ambient light levels in vicinity of the pole 101;

b. A round lens tray 102 positioned in vicinity of lighting enclosure of the pole 101 to adjust the light beam pattern;

c. A millimeter-wave radar 104 in conjunction with an infrared (IR) camera 105 is installed on the pole 101 to detect vehicle density near the pole 101;

d. additional motorized light enclosure panels 107 are integrated at top of the pole 101 to provide more light in dense fog conditions;

e. an ultrasonic sound wave generator 109 is integrated in the pole 101 to disperse dense fog;

f. A safety barrier module is integrated into the street light pole 101, the module includes cascading horizontal plates 110 mounted on circular guiding rails 111, the circular rails 111 are installed around the bottom periphery of the pole 101, allowing them to slide and extend horizontally as needed;

g. A Bluetooth low energy module installed on each street light forming a mesh network of all street lights to enable communication among them;

h. An IoT module is integrated into the street light pole 101 to receive updates about the weather conditions in areas in vicinity of the pole 101; and

i. A processing module embedded with machine learning (ML) protocols.

2. The adaptive street lighting system in dense fog as claimed in claim 1, wherein the processing module automatically adjusts the street lighting based on the ambient light levels detected by the LDR sensor and upon detection of natural light, the street light turns off, upon detection of fog by the fog sensor, the processing module automatically adjusts the intensity of the streetlight.

3. The adaptive street lighting system in dense fog as claimed in claim 1, wherein the round lens tray 102 incudes a plurality of lenses of varying refractive indexes, the lens tray 102 is connected to a rack of a rack and pinion 103 housed in the upper section of the pole 101 near the light enclosure, as the processing module actuates the pinion, the rack moves linearly to move the round tray 102 of lenses for adjusting the light beam pattern according to the desired light beam pattern.

4. The adaptive street lighting system in dense fog as claimed in claim 1, wherein the millimeter-wave radar 104 and the infrared (IR) camera 105 are configured to detect vehicle density in dense fog conditions, upon detection of high vehicle density, the processing module activates a 3D holographic projector 106 mounted on top of the pole 101 to display safe speed limit for drivers of nearby vehicles to avoid accidents in dense fog conditions.

5. The adaptive street lighting system in dense fog as claimed in claim 4, wherein the millimeter-wave radar 104 and the infrared (IR) camera 105 are also configured to detect stationary vehicles in vicinity of the pole 101, upon detection of a stationary vehicle, the processing module activates the holographic projector 106 to display warning message to drivers of nearby vehicles to avoid accidents in dense fog conditions.

6. The adaptive street lighting system in dense fog as claimed in claim 1, wherein additional motorized light enclosure panels 107 are mounted on cascading slider 108 , the slider 108 integrated at top of the pole 101, upon detection of fog exceeding a predetermined threshold, the processing module actuates the slider 108 to extend and deploy the additional lights to illuminate the complete street width, the additional light panels 107 are also integrated with laser projectors to project visible lines onto the street surface during fog to assist drivers in lane adherence.

7. The adaptive street lighting system in dense fog as claimed in claim 1, wherein the ultrasonic generator 109 emits directional ultrasonic sound waves toward the road surface, these high-frequency sound waves cause fog particles to collide and coalesce, forming larger, heavier droplets that settle onto the ground, effectively reducing the fog density in the air, based on fog intensity determined by the fog sensor, the processing module adjusts the intensity and frequency of the ultrasonic waves to ensure optimal fog dispersion under varying fog conditions.

8. The adaptive street lighting system in dense fog as claimed in claim 1, wherein upon detection by the IR camera 105 of an animal or person approaching the road to cross, the processing module evaluates the proximity of incoming vehicle and on determination that vehicle is approaching at a speed that poses a risk, the cascading plate 110 extends horizontally, forming a temporary side barrier to prevent the animal or pedestrian from stepping onto the road.

9. The adaptive street lighting system in dense fog as claimed in claim 1, wherein upon detection by the street light pole 101 that it is safe for an animal/pedestrian to cross the road based on the distance of an approaching vehicle, it allows them to cross and triggers a coordinated response with nearby poles 101 using the BLE mesh network, the poles 101 situated before the pole 101 where the animal/person is crossing the road, on receiving this communication cascading plates 110 extend onto the road, forming a temporary barrier to prevent vehicles from approaching too quickly, these poles 101 also activate flashing strobe warning lights to alert drivers of the pedestrian or animal crossing ahead.

10. The adaptive street lighting system in dense fog as claimed in claim 1, wherein the IoT module is configured to receive weather updates in real time, using (ML) models trained on local weather and traffic data, the IoT module predicts the onset of fog and proactively adjusts the lighting levels to improve visibility before conditions worsen.