Develop an System to identity transgression though sensors & electronics devices, Camera etc
ABSTARCT :
Typical approaches to visual vehicle tracking across large area require several cameras and complex algorithms to detect, identify and track the vehicle route. Due to memory requirements, computational complexity and hardware constrains, the video images are transmitted to a dedicated workstation equipped with powerful graphic processing units. However, this requires large volumes of data to be transmitted and may raise privacy issues. This paper presents a dedicated deep learning detection and tracking algorithms that can be run directly on the camera’s embedded system. This method significantly reduces the stream of data from the cameras, reduces the required communication bandwidth and expands the range of communication technologies to use. Consequently, it allows to use short-range radio communication to transmit vehicle-related information directly between the cameras, and implement the multi-camera tracking directly in the cameras. The proposed solution includes detection and tracking algorithms, and a dedicated low-power short-range communication for multi-target multi-camera tracking systems that can be applied in parking and intersection scenarios. System components were evaluated in various scenarios including different environmental and weather conditions.
EXISTING SYSTEM :
? Utilisation of real-time data in GIS applications requires a rethinking of existing practices.
? Significant progress has been made in the development of low-power, short-range radio-based communication networks, which augment existing longdistance wireless communication networks.
? The requirement of scalability implies that new sensors can be easily added to an existing topology without necessitating aggravating changes in the present hardware and software infrastructure.
DISADVANTAGE :
? Vision based systems are universally applicable to both indoor and outdoor scenarios, with broad range of use cases, not limited only to simple space-occupancy problems, but offering simultaneously vehicle detection, classification and tracking as well as enabling traffic law enforcement.
? This should not normally happen, but if the queues of unsent messages grow due to temporary communication problems, it is better to drop messages that are no longer valid, rather than clog the system for e
PROPOSED SYSTEM :
• It proposes a flexible and portable measurement infrastructure enabling a wide variety of real-time and near real-time monitoring applications.
• Operational real-world sensor network applications are still rare and the majority still serves a single purpose, which limits broader usage of measurement data.
• This requires a shift from monolithic single-purpose sensor systems to interoperable measurement infrastructures, which necessitates adequate public awareness and policy frameworks.
ADVANTAGE :
? The performance of the system (both in terms of detection accuracy and the number of processed frames per seconds) is strongly affected by the number of objects in the video stream.
? If detection needs to be conducted in real-time, the algorithms require high performance computers equipped with powerful GPUs and large amount of memory.
? However, the accuracy and performance of the system was strongly affected by the traffic load.
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