Testbench for automatic braking system in forklifts

Developed a mechanical test bench to simulate and calibrate a computer vision model that detected the presence of humans around a forklift in a warehouse and automated its braking. The main challenge of the design was to counter in the parameters like forklift's weight, which varies depending on the material it is carrying, the surface and the frequency of people crossing paths with the forklifts. To solve this challenge, I developed a system that would calibrate the computer vision model based on the forklift's weight and other variables. By testing different scenarios, I was able to ensure that the system was effective in detecting humans and accurately braking the forklift in different situations. The project was a success, and the test bench was able to accurately detect and respond to the human presence without any errors.