Forklift Signaling

Business Use case

Manufacturing companies have several forklifts operating simultaneously infactories. This
poses a threat to the workers who are working in the same areaas the forklifts. This solution
serves as a signaling mechanism to avoid collisionbetween forklifts and provide safety to
the workers.

Client

Proof of Concept for a paint manufacturing company in Texas.

Use cases solves

1. Forklift Detection: Detect and track the forklift as it passes by in the aisle.­
2. Path and Velocity prediction: Predict the velocity and path trajectory of theforklift.­
3. Person Detection: Detect nearby persons to predict possible collision.

Technologies Used

TensorRT, CUDA-X, PyTorch, Python, C/ C++, Kafka, Django, Flask.

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