[AI Implementation Case] Prevention of Forklift Collision Accidents
Reduce labor accident risks! Monitor the position of workers moving around and alert drivers to potential hazards.
We would like to introduce a case study on the implementation of AI in the prevention of forklift collision accidents. There are challenges such as being injured when the vehicle is reversing, having a part of the body protrude while in motion and getting caught between the load, the building, and the forklift's head guard or reach fork. As a solution, cameras are installed on the front, back, and sides of transport equipment like forklifts. This allows for the detection of workers who may be in the vicinity, providing warnings to the driver about potential risks and preventing accidents before they occur. [Case Overview (Partial)] ■ Challenges - Being injured when the vehicle is reversing - Having a part of the body protrude while in motion and getting caught between the load, the building, and the forklift's head guard or reach fork - Poor visibility due to load carrying leading to rear-end collisions *For more details, please refer to the PDF document or feel free to contact us.
- Company:アルプス
- Price:Other