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Week 4

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Achievements of the project as the bench inspection approaches Following week 4 and the final lab day, the car is in a hardware-complete form.  All connections are soldered and everything is mounted in place on the chassis. The AI camera is successfully detecting objects and outputting the results to the terminal. The sensors are successfully detecting objects and are able to control the wheels via the program that was created. There is the occasional collision with objects such as walls, but through some software tweaking, it might be possible to reduce the occurrence of this. Summary of the fourth week in the lab The circuit design was finalised and implemented into the system using soldered connections through a Veroboard, along with the Battery HAT allowing the system to move around without any wired connections. The camera is also now connected via it's ribbon cable within the same system. The image below shows the completed car. Image showing the completed car. Image showing ...
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Week 1

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Aim of the project The main aim for our project is to create an object avoidance vehicle that will use both ultrasonic sensors and camera detection to determine any objects that are in the vehicle's path, as well as the surrounding area on all sides to then adjust the speed/direction accordingly. To start off, we set out each component of the project: The main drivetrain consisting of 4 motors and 2 dual motor controllers. 4 Ultrasonic sensors, 1 on each side, to provide an estimation of the surrounding area around the car. A Raspberry PI AI camera that will be used for the camera detection and image processing. All of the above components will be controlled and powered by a Raspberry PI 4 Model B. Goals of the project as decided so far Use the Raspberry PI AI Camera along with specific image processing models to detect objects and signs relating to road networks in the UK, for example traffic lights and stop signs. Use the ultrasonic sensors to provide estimations of distance betw...
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