Paper Title: An Efficient Accident Detection and Alert System through Surveillance Camera for Vehicle Tracking Algorithm Using WSN

Author's name: Nivethitha Arjun, Murali Lakshmanan, Mariaraja Paramasivam, Aravindh Gunasekaran

In this architecture, the automatic recognition emergency system with an intensity high camera is used for real-time emergency vehicle tracking and is located in traffic signals on highways. Many people lost their lives due to the delay in the emergency services. If we minimize the traffic delay, many heart attack patients can be saved. Emergency services should be provided timely and accurately to detect the ambulance when it comes close to a traffic signal and finally estimate the distance to the incoming emergency vehicle with the help of a roadside traffic surveillance unit. Microcontroller used as Raspberry Pi B+ module. ARM11 32-bit processor sensor interfacing such as sound detection siren. The system generates a sequence of information regarding traffic emergency situations and networking. Using the Internet of Things technique, a tracking system for vehicles can be built. The illustrations and assessment are offered to demonstrate and be verified by the embedded system design.

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