Description:Title of The Invention
Vision based smart intelligent traffic accident monitoring system and method thereof
Field of the Invention
This invention relates to smart intelligent traffic accident monitoring system.
Background of the Invention
CN101833868B: The embodiment of the invention discloses a traffic monitoring system and a monitoring method. The traffic monitoring system comprises a roadside broadcasting machine, a vehicle-mounted terminal and a traffic management platform, wherein the roadside broadcasting machine and the vehicle-mounted terminal are connected in a wireless mode, and the vehicle-mounted terminal and the traffic management platform are connected through a wireless network. In the technical scheme, the vehicle-mounted terminal can directly exchange data with the traffic management platform, and simultaneously acquires and sends vehicle travelling information to the traffic management platform, so that the traffic management platform can obtain the vehicle travelling information in real time and learn about information indicating whether the vehicle breaks the rule or not according to the vehicle travelling information and road control information; and vehicle monitoring information sent to the vehicle-mounted terminal is utilized to regulate vehicle travelling states, thus realizing the real-time monitoring and management of the vehicle and the monitoring of road traffic conditions.
Research Gap:
• The current invention is limited to radio broadcasting machine where our invention is based on vision with accident identification.
• In current invention, there is no use of web or mobile application to take inputs.
• In current invention there is no use of GPS.
• In current invention, no ambulance or nearby station is registered where in our invention we register nearby ambulance and nearby stations for transfer the alerts calls.
CN104751629A: The invention provides a method and system for detecting traffic accidents. The method comprises the steps: real-timely acquiring state information of vehicles and transmitting vehicle identification information and acquired state information to a traffic information centre; and the traffic information centre confirms whether traffic accidents happen or confirms the type of the happened traffic accidents according to the received vehicle identification information and state information. By adopting the invention, the required acquired and transmitted data information is relatively simple and the requirement to wireless transmission is relatively low, so that the data transmission real-timeliness and the transmission speed can be protected well; moreover, the installation of other information acquisition and transmission systems on the vehicles is not needed, so that the tedious installation process is avoided and the installation cost is reduced.
Research Gap:
• In current invention there is no use the co-ordinates’ location where the proposed invention is based on co-ordinates location of the accident spot obtained by the GPRS.
• The current invention does not used GPRS module.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is a need for a smart intelligent traffic accident monitoring system that should be designed in such a way that it not only detects the accident but also helps in preventing accidents. Main purpose of this system is to spot the accidents in any place and intimate to the nearby hospitals, stations, ambulance or vehicle to take the necessary steps and actions.

SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
In India, over 450,000 accidents occur each year with the death of around 150,000 people. Distracted driving is one of the most common causes of traffic accidents. In recent decades, the incidence of accidents caused by distracted driving has rapidly increased. While driving, drivers must pay complete attention to what is going on around them. There is a need for a smart intelligent traffic accident monitoring system that should be designed in such a way that it not only detects the accident but also helps in preventing accidents. The main purpose of this system is to spot the accidents in any place and intimate to the nearby hospitals, stations, ambulance or vehicle to take the necessary steps and actions.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Fig. 1, shows the deployment demonstration of the monitoring device which can be deployed in any areas especially for hilly areas where road accidents is a major problem. The system can be deployed within a particular distance which is connected to the cloud with the GPRS and other technologies. The main intention of this system is to spot the accident in any place and intimate to the nearby stations, ambulance or vehicle to take the necessary steps and actions.
Fig. 2, shows the working block diagram of the proposed system. This system is consists of a central unit which is Raspberry Pi that is connected to different input sensors and units such as motion sensor which detect a person by sending alert message, Doppler Radar Sensors quickly detect direction and speed by analyzing their waves and vibration, GPS module for location, navigation, tracking, mapping and timing, a camera is used to trace the position of the vehicle number plate and speed of the vehicle and face detection, GPRS will send the SMS to cloud server and makes alert calls and Intel Neutral Stick allowed to test out AI application on embedded system at a power cost & quickly bring computer vision. Solar panel for battery charging and a battery for power supply.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.

DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
In this invention, designed a vision based smart intelligent traffic accident monitoring system that have been designed in such a way that it not only detects the accident but also helps in preventing it. This system is used to monitor and prevent the accidents in major accidental areas specially in hilly areas. This system is also useful for tracking the position of the vehicle even in dark clumsy areas where there is no network for receiving the signals. Fig. 1, shows the deployment demonstration of the monitoring device which can be deployed in any areas specially for hilly areas where road accidents is a major problem. The system can be deployed within a particular distance which is connected to the cloud with the GPRS and other technologies. The main intention of this system is to spot the accident in any place and intimate to the nearby stations, ambulance or vehicle to take the necessary steps and actions. Fig. 2, shows the working block diagram of the proposed system. This system is consists of a central unit which is Raspberry Pi that is connected to different input sensors and units such as motion sensor which detect a person by sending alert message, Doppler Radar Sensors quickly detect direction and speed by analyzing their waves and vibration, GPS module for location, navigation, tracking, mapping and timing, a camera is used to trace the position of the vehicle number plate and speed of the vehicle and face detection, GPRS will send the SMS to cloud server and makes alert calls and Intel Neutral Stick allowed to test out AI application on embedded system at a power cost & to quickly bring computer vision. Solar panel for battery charging and a battery for power supply. Once the GPRS will sends the SMS and vision-based data to the cloud server, an alert call will automatically transfer to the nearby stations, ambulance, special vehicle through web or mobile application. After identification of the alert call revived, necessary steps and actions can be taken based on inputs. This system is helpful specially in in hilly areas where there are no possibilities of ambulance. In this system, co-ordinate’s location of the accident spot obtained by the GPRS and GPRS module works through the police and to registered member. This system can be used in dark clumsy areas where there is no network for receiving the signals. Through the web or mobile application, we can monitor and track this system device conditions with surrounding activities.
ADVANTAGES OF THE INVENTION
• This invention is used to monitor road accidents where there is no network for receiving the signals.
• This invention is used in hilly areas where there is no possibilities of ambulance.
• This invention is sends alert about traffic accidents for preventing the accidents.

Claims:
1. Vision based smart intelligent traffic accident monitoring system is comprises raspberry PI (10), motion sensor (11), doppler radar sensor (12), GPS (13), camera (14), input / output (15), solar panel (20), battery (21), GPRS (22), intel neural stick (23), keyboard (24), mouse (25).
2. The system as claimed in claim 1, wherein which is consists of a central unit which is Raspberry Pi (10) that is connected to different input sensors and units such as motion sensor which detect a person by sending alert message.
3. The system as claimed in claim 1, wherein, Doppler Radar Sensors (11, 12) quickly detect direction and speed by analysing their waves and vibration and a camera (14) is used to trace the position of the vehicle number plate and speed of the vehicle and face detection.
4. The system as claimed in claim 1, wherein GPRS (22) will send the SMS to cloud server and makes alert calls and Intel Neutral Stick (23) allowed to test out AI application on embedded system at a power cost & to quickly bring computer vision.
5. The system as claimed in claim 1, wherein Solar panel (20) for battery (21) charging and a battery for power supply.