Forward Collision Alert on Stable Vehicles Using Ad-Hoc Network and Image Processing

The idea pitches and solves a specific case study alone. There are many crashes in recent years especially hitting a stable vehicle in roads which is halted due to some emergency or a breakdown condition. This can be prevented by prior forecasting of information between vehicles. The communication may be established by means of Ad-Hoc networks or Wi-Fi or any other radio circuits. Before sending a alert signal to the moving vehicle in the network, the network should check the vehicle in stable condition is on road or off road (Parked outside the road), some parameters (speed, direction of the car), GPS location. To check whether the car is on road it comprises two processes. The first one is by means of image processing. The camera is placed in the wind-shield or at the number plate of the car in a tilted angle. This system gets activated when the RPM or speed of the car reaches zero with a delay. As the system is activated the camera takes the image and sends image processing unit. The image processing unit splits the image into three. Then it checks for the content of blackness in each part. If the content of blackness is high, which send a value 1 otherwise 0. The outputs are collected from the three parts of the image and divided by 3. If the probability is 2/3, 3/3=1 then the probability of parking the vehicle on the road is high. If the probability is 1/3 then the probability of parking the vehicle on the road may be low. When the probability is low further the part is checked by the same process and derives the output finally. Goggle API the vehicle density is obtained. Based upon these outcomes decides the data to be sent or not. The output may be displayed in a display unit or mobile display unit or a dashboard alert.