Forklift Accident
The Forklift Accident model detects forklift-related hazardous behaviors in real time from industrial site video.
Feature Summary
- Pedestrian collision risk detection (risk_1): Forklift operating while a person approaches the work zone within the camera’s field of view
- Reckless forklift driving detection (risk_2): Person riding on the forklift fork within the camera’s field of view
- Forklift collision risk detection (risk_3): Forklift operating with obstructed visibility due to overloading
Detection Classes
| Class ID | Class Name | Description |
| 0 | normal | Normal (no hazard) |
| 1 | risk_1 | Pedestrian collision risk |
| 2 | risk_2 | Reckless forklift driving |
| 3 | risk_3 | Forklift collision risk |
| Item | Details |
| Input | Industrial site image (480×480), work zone boundary info for risk_1 |
| Output | Hazard class (0–3), per-class confidence |
| Recommended Environment | TensorRT GPU inference recommended |
Demo Library Download Options
| Option | Description | Download |
| Option A: SDK | Inference and post-processing utilities included | <python-sdk-download-url> |
| Option B: Demo Sample | Single/batch request samples | <rest-sample-download-url> |
| Option C: Docker Demo | Offline demo environment | <docker-demo-download-url> |
Quick Start (SDK)
C++
License