Drivers are guided by stop signs, turn signals, and lanes marked for turning right or left rather than straight. Automobile accidents frequently occur when drivers disobey these instructions. Always check for signs and follow the correct right-of-way before making a turn to avoid getting into a car accident. But it fails a lot of the time. The proposed design called Vehicle Collision Avoidance was completed, using the Raspberry Pi hardware and the Python image processing methodology. This study explores a solution that makes use of traffic signals and image processing to address the issue. Basically, an alert system is used to warn drivers of oncoming traffic or of cars in their blind spots. This is thoroughly explained by an L-shaped road. But there would be one or more automobiles coming from opposite directions, which would result in a crash. When this occurs, imagine a line with a specific distance on either side. A signal light for the vehicle approaching from the opposite direction will flash when the car crosses that line. Similar steps are taken for the other L bend in turn. As a result, drivers can quickly recognize a car approaching from the L-shaped roads’ opposite side such that a great deal of collision-related accidents can be prevented [Any other traditional procedures now in use cannot compare to this technology.


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    Title :

    Vehicle Collision Avoidance using Raspberry Pi


    Contributors:


    Publication date :

    2023-03-23


    Size :

    694173 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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