Description:FIELD OF THE INVENTION

[0001] The present invention relates to an AI-based workplace efficiency improvement device that is designed to enhance employee safety, productivity, and operational efficiency by facilitating real-time monitoring of attendance, task performance, and health status, thereby improving operational workflows and enhancing workplace safety for better employee management and environmental adaptation.

BACKGROUND OF THE INVENTION

[0002] Managing employee performance and safety in the workplace has always been a challenging task. In many businesses, keeping track of things like attendance, task completion, and safety protocols involved a lot of manual work—checking in employees, maintaining paper records, or relying on separate systems for each task. These methods were often slow, prone to mistakes, and didn’t provide instant updates. For example, ensuring that workers followed safety guidelines or wore the necessary protective gear required constant checking, which was easily overlooked. Similarly, monitoring health and productivity was typically done through manual observation or occasional reports. As a result, companies struggled to stay on top of performance issues, safety concerns, and even health risks in real-time. With this, employees and management often missed opportunities for improvement, which impact both safety and productivity.

[0003] Traditionally, workplace monitoring relied heavily on manual systems. Employees were typically required to sign in and out, with supervisors conducting regular checks to monitor their activities and task performance. Attendance logs, paper-based reports, and manual tracking were common methods to ensure compliance with safety protocols and task completion. However, these traditional methods had several drawbacks, such as being time-consuming, prone to human error, and lacking real-time feedback. So, people also use electronic attendance systems and basic security cameras for monitoring employees. These systems helped to reduce human error, but still had limitations in tracking productivity or ensuring safety. While cameras monitor physical presence, these did not offer a comprehensive solution for monitoring employee performance or adherence to safety protocols.

[0004] US10032120B2 discloses about an invention that includes a communication system for workforce management is formed of a system controller managing a plurality of badges associated with workplace devices and employees within the workplace. The controller receives event indicators from the badges. These event indicators are analyzed by the controller to determine whether a task should be created and performed by at least one of the workplace devices and/or at least one of the employees. Task lists and device assignments are dynamically updated in response to current workplace conditions.

[0005] US20240105045A1 discloses about an invention that includes a system and a process enable a workplace to be monitored remotely. A monitoring unit for the workplace includes a camera, a gas measuring device and a workplace computer. A communication unit communicates with a control center with a central output computer and an output unit. Signals from the camera and the gas measuring device are transmitted by cable or wirelessly to the workplace computer and from there further transmitted by cable or wirelessly to the communication unit. The signals are transmitted wirelessly from the communication unit to the central output computer. The central output computer causes the received signals to be output on the output unit in a form that can be perceived by a human. The data connection between the communication unit and the central output computer may be routed via a public mobile radio network.

[0006] Conventionally, many devices have been developed that are capable of aiding in improving workplace efficiency. However, these devices do not incorporate data related to employee performance, health parameters, and task schedules, thereby impacting the workflow and overall efficiency within the premises. Additionally, these conventional devices lack the ability to monitor health issues in real time, which affects workplace safety and minimizing health risks to employees.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that requires to integrate employee performance data, health metrics, and task schedules to optimize the workflow and enhance productivity within the premises. In addition, the developed device also needs to detect health issues in real time, thereby facilitating prompt action to maintain workplace safety and reduce risks associated with employee health.

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 device that enable accurate and real-time monitoring of employee attendance, task performance, and health status, for ensuring that each employee is properly identified and engaged in their designated responsibilities.

[0010] Another object of the present invention is to develop a device that is capable of detecting health issues in real time, thereby facilitating prompt action to maintain workplace safety and reduce risks associated with employee health.

[0011] Yet another object of the present invention is to develop a device that enables real-time decision-making by providing authorities with insights and notifications regarding employee performance, safety, and health, thereby allowing them to take appropriate actions in a timely manner.

[0012] 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

[0013] The present invention relates to an AI-based workplace efficiency improvement device that facilitate precise and up-to-the-minute tracking of employee presence, task execution, and well-being, thereby ensuring that each individual is accurately recognized and involved in their assigned duties. Additionally, the proposed device also ensure compliance with safety protocols by monitoring the presence and usage of required safety gear, and to provide automated guidance and training for employees.

[0014] According to an embodiment of the present invention, an AI-based workplace efficiency improvement device comprises of a housing developed to be positioned on a fixed surface inside an premises, plurality of extendable rods are arranged on underside of the housing, each configured with a motorized wheel, and in synchronization with a LiDAR (Light Detection and Ranging) sensor, to dynamically move the housing and adjust height for optimal stability of the housing over the surface, as per scanned surface conditions, an artificial intelligence-based imaging unit installed on the housing for real-time facial recognition in view of ensuring accurate employee identification, attendance monitoring and task performance tracking of each employee, the microcontroller is configured with multiple machine learning protocols for detecting tasks performed by each employee, the protocols are also utilized for calculating performance metrics including attendance, work rate, efficiency and task completion timings of each of the employee, that is continuously updated on the database in real-time, to allow the employees and authorities to review the performance metrics of the employee, for improvement and providing actionable insights to enhance productivity in the work environment, the microcontroller accesses work schedule of each of the employee, thus eliminating breaks and leisure times of the employees, for ensuring a correct decision making regarding the task performance, the microcontroller dynamically updates the database to allocate tasks to the employees based on real-time performance metrics, availability, and skillsets, and the device autonomously suggests task reassignments or shifts to optimize the premises’ workflow, a computing unit wirelessly connected with the microcontroller, associated with a concerned authority responsible for monitoring work and employees within the premises, for receiving a wireless notification from the microcontroller, in case any abnormalities are detected in the attendance and task performance, to allow the concerned authority to take suitable actions, and the computing unit is equipped with an user interface for enabling the authority to provide input for requirement of guiding and training session for new/current employees.

[0015] According to another embodiment of the present invention, the proposed device further comprises of a holographic projection unit mounted on the housing, to project virtual images of the retrieved protocols and instructions to provide a step-by-step guidance to the new/current employees for training to perform the employees’ assigned tasks correctly, a chamber installed within the housing via a motorized sliding unit, that translates to deploy the chamber outwards, in view of enabling employees in proximity to the chamber, to access multiple safety gears stored in the chamber, thus ensuring compliance with the safety protocols and automatically mark employees absent for failure to wear necessary safety gear, a plate equipped with a health monitoring module that includes a FBG (Fiber Bragg Grating) sensor, a temperature sensor and a heart rate sensor for detecting the vital parameters to evaluate a physiological metrics, installed on the housing via an extendable link, that deploys the plate, to allow the employee to place the employees’ wrist on the plate, thus enabling the module to monitor vital health parameters of the employee, thus ensuring workplace safety and reducing risk of accidents, while increasing overall productivity of the workplace, a GPS (Global Positioning System) module integrated with the microcontroller, configured to track location of the device within the premises, enabling the device to remain within designated monitoring areas provided by the authority via the user interface, and to autonomously update the device’s pathfinding and navigation routes based on real-time monitoring of the employee’s locations and a battery is configured with the device for providing a continuous power supply to electronically powered components associated with the device.

[0016] 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

[0017] 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 a perspective view of an AI-based workplace efficiency improvement device.

DETAILED DESCRIPTION OF THE INVENTION

[0018] 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.

[0019] 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.

[0020] 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.

[0021] The present invention relates to an AI-based workplace efficiency improvement device that allows for continuous and accurate tracking of employee attendance, work activities, and health conditions, in view of ensuring that all personnel are correctly identified and fully engaged in their respective roles. Additionally, the proposed device also dynamically adjusts to varying workplace conditions for maintaining stability and ensuring optimal functionality, thus enhancing the work environment.

[0022] Referring to Figure 1, a perspective view of an AI-based workplace efficiency improvement device is illustrated, comprising a housing 101 developed to be positioned on a fixed surface inside an premises, plurality of extendable rods 102 are arranged on underside of the housing 101, each configured with a motorized wheel 103, an artificial intelligence-based imaging unit 104 installed on the housing 101, a holographic projection unit 105 mounted on the housing 101, a chamber 106 installed within the housing 101 via a motorized sliding unit 107, a plate 108 installed on the housing 101 via an extendable link 109.

[0023] The device disclosed herein comprising a housing 101 that is configured for positioning on a fixed surface within a premises, wherein the housing 101 is equipped with plurality of extendable rods 102 (preferably 2 to 6 in numbers) that are attached to the underside. Each of these rods 102 is further provided with a motorized wheel 103, which is operable through an inbuilt microcontroller.

[0024] The microcontroller coordinates the operation of the motorized wheel 103 in synchronization with a LiDAR sensor, which performs scanning of the surface upon which the housing 101 is positioned. The surface conditions detected by the LiDAR sensor trigger the microcontroller to dynamically adjust the height of the housing 101 by directing the extendable rods 102, ensuring the housing 101 remains stably positioned relative to the surface. The adjustment is done in real-time based on the information provided by the LiDAR sensor to optimize the stability and level of the housing 101 on the scanned surface. This dynamic height adjustment process ensures that the housing 101 maintains an optimal position, reducing the risk of instability during operation.

[0025] The LiDAR sensor emits laser beams in multiple directions, which then bounce off from surfaces in the surrounding area. The sensor measures the time it takes for the light to return after hitting the surface, allowing it to calculate the distance between the sensor and the surface. This data is processed to create a detailed, accurate 3D map of the environment. The LiDAR sensor scans the surface under the housing 101, providing real-time data to the microcontroller, which adjusts the housing 101 height and position for stability based on the surface conditions detected.

[0026] The rods 102 are pneumatically actuated, wherein the pneumatic arrangement of the rods 102 comprises of a cylinder incorporated with an air piston and the air compressor, wherein the compressor controls discharging of compressed air into the cylinder via air valves which further leads to the extension/retraction of the piston. The piston is attached to the telescopic rods 102, wherein the extension/retraction of the piston corresponds to the extension/retraction of the rods 102. The actuated compressor allows extension of the rods 102 to adjust height for optimal stability of the housing 101 over the surface.

[0027] The motorized wheel 103 are a circular object that revolves on an axle to enable the housing 101 to move easily over the ground surface. For maneuvering the housing 101 each of the wheel 103 need to rotate and which is governed by a hub motor fit in the hub of each of the wheel 103 that provides the rotation motion to the wheels for maneuvering the housing 101 on the ground surface.

[0028] An artificial intelligence-based imaging unit 104 positioned on a housing 101, which works in conjunction with a processor to capture and process multiple images of individuals within the premises. The imaging unit 104 is linked to a database, where authentication data of authorized personnel is stored. This data includes personal identification details, work schedules, performance metrics, and physiological parameters. The microcontroller continuously compares real-time images captured by the imaging unit 104 with the stored employee data via the microcontroller, ensuring precise identification, monitoring of attendance, and task performance tracking.

[0029] Upon recognition of an employee, the microcontroller accesses the employee’s corresponding workflow and work schedule from the database, allowing for verification of the individual’s tasks and activities. The data also includes physiological metrics to monitor the health status of employees. The microcontroller utilizes this data to ensure optimal task performance, attendance compliance, and adherence to safety standards while tracking both task completion and overall health. The invention thus enables real-time monitoring and efficient management of employee activities within the premises.

[0030] The imaging unit 104 disclosed herein comprises of an image capturing arrangement including a set of lenses that captures multiple images of the employees present inside the premises and the captured images are stored within memory of the imaging unit 104 in form of an optical data. The imaging unit 104 also comprises of the processor which processes the captured images.

[0031] This pre-processing involves tasks such as noise reduction, image stabilization, or color correction. The processed data is fed into AI protocols for analysis which utilizes machine learning techniques, such as deep learning neural networks, to extract meaningful information from the visual data which are processed by the microcontroller for real-time facial recognition in view of ensuring accurate employee identification, attendance monitoring and task performance tracking of each employee.

[0032] The microcontroller is programmed with multiple machine learning protocols designed to detect and analyze tasks performed by each employee. These protocols work by continuously monitoring employee activities within the premises, identifying actions and behaviors through image processing and sensor data. The detected activities are then cross-referenced with the employee's data stored in the database, including the individual’s assigned tasks and responsibilities.

[0033] The microcontroller ensures that each employee is only engaged in activities relevant to their specific role, thereby verifying that the employee is performing the tasks as per the predefined work schedule. If any discrepancies or unauthorized activities are detected, the microcontroller flags the event for further review, ensuring compliance with assigned tasks and enhancing overall productivity and accountability.

[0034] Synchronously, the microcontroller utilizes the machine learning protocols to continuously calculate key performance metrics for each employee, such as attendance, work rate, efficiency, and task completion timings. These metrics are automatically updated in real-time and stored within the database. The microcontroller enables both employees and relevant authorities to access and review these performance metrics at any given moment.

[0035] This real-time tracking provides valuable insights into individual and overall workforce productivity, facilitating informed decision-making. By monitoring performance trends, the device helps identify areas for improvement, allowing for targeted interventions such as skill development or workflow optimization, ultimately enhancing productivity within the work environment.

[0036] Also, the microcontroller accesses and monitors the work schedule of each employee, ensuring that all work activities align with the assigned tasks and operational requirements. By continuously tracking employee schedules, the microcontroller eliminates unapproved breaks and leisure periods, maintaining focus on task performance. This real-time oversight allows for accurate decision-making regarding task assignments, ensuring that employees remain engaged in productive activities throughout their workday. Consequently, the microcontroller enables efficient task management, helping to optimize work output and prevent any disruptions that could negatively impact productivity or operational goals.

[0037] The microcontroller continuously updates the database to allocate tasks to employees based on real-time performance metrics, availability, and skillsets. By monitoring the performance of each employee and assessing their current status, the device ensures that tasks are assigned in a manner that optimizes overall productivity. In cases where task reassignment or shifts are necessary, the microcontroller autonomously suggests these adjustments, taking into account the current workload and capabilities of each employee. This dynamic approach helps to simplify workflow, reduce inefficiencies, and ensure that tasks are performed by the most qualified and available employees, ultimately enhancing operational efficiency within the premises.

[0038] A computing unit is wirelessly connected to the microcontroller, enabling seamless communication with the concerned authority responsible for overseeing the work and employees within the premises. This unit receives real-time notifications from the microcontroller whenever abnormalities are detected in employee attendance or task performance. Upon receiving such alerts, the concerned authority is prompted to take the necessary corrective actions. Additionally, the computing unit features a user interface, allowing the authority to input requirements for guidance and training sessions for both new and current employees, ensuring that any performance gaps or training needs are addressed promptly to improve overall efficiency and effectiveness.

[0039] A holographic projection unit 105 is mounted on the housing 101, where it is controlled by the microcontroller. The microcontroller accesses a linked database containing various safety protocols and operational instructions relevant to the resources within the premises. Upon retrieving this information, the microcontroller activates the holographic projection unit 105 to display virtual images representing the safety protocols and operating instructions. These projected images provide step-by-step guidance to both new and current employees, ensuring they receive clear and accurate instructions on how to perform their assigned tasks correctly, thus improving training effectiveness and reducing the risk of errors in task execution.

[0040] The holographic projection unit 105 disclosed herein, comprises of multiple lens. After getting the actuation command from the microcontroller, a light source integrated in the projection unit 105 emits various combination of lights toward the lens which is further portrayed to project virtual images of the retrieved protocols and instructions to provide a step-by-step guidance to the new/current employees for training to perform the employees’ assigned tasks correctly.

[0041] A chamber 106 is positioned within the housing 101 and is mounted on a motorized sliding unit 107, wherein the sliding unit 107 is actuated by the microcontroller in coordination with an imaging unit 104. Upon detection of employee proximity, the microcontroller triggers the motorized sliding unit 107, thereby causing the chamber 106 to extend outwardly from the housing 101.

[0042] The purpose of this extension is to provide employees access to various safety gear stored within the chamber 106. This ensures that employees comply with safety protocols by granting them access to the required gear. In the event that an employee fails to access or wear the necessary safety gear, the microcontroller is programmed to automatically register the employee as absent for non-compliance. The arrangement works in real-time, ensuring that all employees are equipped with the requisite safety gear before proceeding with their assigned tasks, thereby safeguarding workplace safety standards.

[0043] The sliding unit 107 consists of a pair of sliding rail fabricated with grooves in which the wheel of a slider is positioned that is further connected with a bi-directional motor via a shaft. The microcontroller actuates the bi-directional motor to rotate in clockwise and anti-clockwise direction that aids in rotation of shaft, wherein the shaft converts the electrical energy into rotational energy for allowing movement of the wheel to translate over the sliding rail by a firm grip on the grooves. The movement of the slider results in translation of the chamber 106 outwards, in view of enabling employees in proximity to the chamber 106, to access multiple safety gears stored in the chamber 106, thus ensuring compliance with the safety protocols.

[0044] A plate 108 is installed on the housing 101 via an extendable link 109, wherein the plate 108 is integrated with a health monitoring module. This module includes a Fiber Bragg Grating (FBG) sensor, a temperature sensor, and a heart rate sensor, each designed to detect vital parameters indicative of an employee's physiological metrics.

[0045] The Fiber Bragg Grating (FBG) sensor operates by reflecting specific wavelengths of light when passed through an optical fiber. The grating inside the fiber reflects light at a particular wavelength that shifts in response to changes in strain or temperature. When the fiber experiences deformation due to applied stress or temperature changes, the reflected wavelength shifts proportionally to these changes. This shift is detected by an optical interrogator, which measures the changes and provides real-time data on the physical conditions affecting the fiber, thus enabling precise strain or temperature monitoring.

[0046] The temperature sensor detects temperature changes by measuring the change in physical properties of a material that correlates with temperature. Typically, a thermistor is used in the sensor. In thermistors, the resistance of the material decreases or increases with temperature. The sensor measures this resistance change and converts it into an electrical signal that is processed to determine the temperature. This data is then transmitted for monitoring, ensuring accurate and timely detection of temperature variations in the monitored environment.

[0047] The heart rate sensor works by detecting the pulse of blood flow, typically through optical or electrical methods. Optical sensors use light to illuminate the skin, and then measure the light reflected from the skin as blood pulses through vessels. The variation in light intensity is used to calculate the heart rate. Alternatively, electrical sensors use electrodes to detect electrical signals generated by the heart's activity. These signals are processed to determine the number of heart beats per minute, providing real-time data on the individual's cardiovascular health.

[0048] In the event that the imaging unit 104 detects abnormal facial expressions indicative of potential health concerns, the microcontroller promptly sends a notification to the designated authority. This notification alerts the authority to initiate a health check for the employee. Following this, the microcontroller actuates the extendable link 109 that works in the similar manner as of rods 102 and deploys the plate 108. The employee is then prompted to place their wrist on the plate 108, enabling the health monitoring module to assess key vital parameters such as heart rate, temperature, and other physiological metrics. This process ensures timely detection of potential health issues, promotes workplace safety, reduces the risk of accidents, and contributes to improving overall productivity within the workplace.

[0049] A GPS module integrated with the microcontroller is designed to continuously track the location of the device within the premises. This allows the device to remain within the designated monitoring zones set by the authority through the user interface. The microcontroller utilizes real-time location data to autonomously adjust the device's navigation routes and pathfinding. By monitoring the movement of employees, the device ensures that the device stays within authorized areas and can make necessary route adjustments to optimize workflow, improving operational efficiency and ensuring proper supervision within the defined premises.

[0050] The GPS module receives signals from multiple satellites orbiting the Earth. By calculating the time, it takes for the signals to travel from the satellites to the module, the GPS module determines its precise location in terms of latitude, longitude, and altitude. This data is then sent to the microcontroller for processing. The microcontroller uses this location information to monitor the device's position within the premises, ensuring it stays within designated zones. Additionally, the microcontroller adjusts the device’s pathfinding and navigation routes by continuously updating the GPS data in real-time, enabling efficient operation within the premises.

[0051] Moreover, a battery is associated with the device for powering up electrical and electronically operated components associated with the device and supplying a voltage to the components. The battery used herein is preferably a Lithium-ion battery which is a rechargeable unit that demands power supply after getting drained. The battery stores the electric current derived from an external source in the form of chemical energy, which when required by the electronic component of the device, derives the required power from the battery for proper functioning of the device.

[0052] 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 AI-based workplace efficiency improvement device, comprising:

i) a housing 101 developed to be positioned on a fixed surface inside a premises, wherein plurality of extendable rods 102 are arranged on underside of said housing 101, each configured with a motorized wheel 103, that are actuated by an inbuilt microcontroller, in synchronization with a LiDAR (Light Detection and Ranging) sensor, to dynamically move said housing 101 and adjust height for optimal stability of said housing 101 over said surface, as per scanned surface conditions;
ii) an artificial intelligence-based imaging unit 104 installed on said housing 101 and paired with a processor for capturing and processing multiple images of employees present inside said premises, wherein said imaging unit 104 is linked to a database connected with said microcontroller, for storing authentication data of multiple employees authorized to access and interact within said premises, which is fetched by said microcontroller to compare with said captured and processed images, for real-time facial recognition in view of ensuring accurate employee identification, attendance monitoring and task performance tracking of each employee;
iii) a computing unit wirelessly connected with said microcontroller, associated with a concerned authority responsible for monitoring work and employees within said premises, for receiving a wireless notification from said microcontroller, in case any abnormalities are determined in said attendance and task performance, to allow said concerned authority to take suitable actions, wherein said computing unit is equipped with an user interface for enabling said authority to provide input for requirement of guiding and training session for new/current employees;
iv) a holographic projection unit 105 mounted on said housing 101, wherein said microcontroller fetches a database linked with said microcontroller to retrieve multiple safety protocols and operating instructions of resources within said premises, stored in said database, in accordance to which said microcontroller actuates said holographic projection unit 105 to project virtual images of said retrieved protocols and instructions to provide a step-by-step guidance to said new/current employees for training to perform said employees’ assigned tasks correctly;
v) a chamber 106 installed within said housing 101 via a motorized sliding unit 107, that is actuated by said microcontroller in synchronization with said imaging unit 104 for translating to deploy said chamber 106 outwards, in view of enabling employees in proximity to said chamber 106, to access multiple safety gears stored in said chamber 106, thus ensuring compliance with said safety protocols and automatically mark employees absent for failure to wear necessary safety gear; and
vi) a plate 108 equipped with a health monitoring module, installed on said housing 101 via an extendable link 109, wherein in case said imaging unit 104 detects abnormal facial expressions indicating potential health issues, said microcontroller notifies said authority, prompting said authority to call said employee for health monitoring, followed by actuation of said link 109 for deploying said plate 108, to allow said employee to place said employees’ wrist on said plate 108, thus enabling said module to monitor vital health parameters of said employee, thus ensuring workplace safety and reducing risk of accidents, while increasing overall productivity of said workplace.

2) The device as claimed in claim 1, wherein said database is stored with workflow, work schedule, performance metrics and physiological metrics of said employees.

3) The device as claimed in claim 1, wherein said microcontroller is configured with multiple machine learning protocols for detecting tasks performed by each employee, that is cross-referenced by said microcontroller with said database, to verify that each of said employee is performing assigned task and is engaged solely in activities relevant to said employee’s responsibility.

4) The device as claimed in claim 1, wherein a GPS (Global Positioning System) module integrated with said microcontroller, configured to track location of said device within said premises, enabling said device to remain within designated monitoring areas provided by said authority via said user interface, and to autonomously update said device’s pathfinding and navigation routes based on real-time monitoring of said employee’s locations.

5) The device as claimed in claim 1, wherein said microcontroller utilizes said protocols for calculating performance metrics including attendance, work rate, efficiency and task completion timings of each of said employee, that is continuously updated on said database in real-time, to allow said employees and authorities to review said performance metrics of said employee, for improvement and providing actionable insights to enhance productivity in said work environment.

6) The device as claimed in claim 1, wherein said health monitoring module includes a FBG (Fiber Bragg Grating) sensor, a temperature sensor and a heart rate sensor for detecting said vital parameters to evaluate a physiological metrics, providing feedback to said authority when health risks are detected.

7) The device as claimed in claim 1, wherein said microcontroller accesses work schedule of each of said employee, thus eliminating breaks and leisure times of said employees, for ensuring a correct decision making regarding said task performance.

8) The device as claimed in claim 1, wherein said microcontroller dynamically updates said database to allocate tasks to said employees based on real-time performance metrics, availability, and skillsets, and said device autonomously suggests task reassignments or shifts to optimize said premises’ workflow.

9) The device as claimed in claim 1, wherein a battery is configured with said device for providing a continuous power supply to electronically powered components associated with said device.