PPE-Detection
PPE-Detection provides PPE-focused vision inference for edge devices, enabling real-time worker and safety-gear detection in industrial environments. It is suitable for rapid PoC and production deployment in factories, warehouses, logistics sites, and construction safety monitoring scenarios.
Upstream project: qualcomm/gear_guard_net
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Category: Industrial Safety Vision AI
Gear Guard Net
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PPE Detection Model(Gear Guard Net)
Checks for required safety gear in real time, helping monitor PPE compliance in industrial environments. The model is based on a Qualcomm-developed architecture and is designed to run inference on general image inputs. -
PPE Inference Pipeline
Uses confidence score thresholds to identify PPE objects, supporting on-site safety monitoring and result visualization. -
QNN DLC Optimization
Uses QNN DLC runtime optimization with W8A16 quantization to improve inference efficiency while maintaining real-time performance and edge deployment feasibility.
Supported Platform
| Platform | Hardware Spec | OS | Edge AI SDK |
|---|---|---|---|
| AIR-055 | Qualcomm IQ-9075 - RAM: 36 GB, Storage: 128 GB | Ubuntu 24.04.3 LTS | Install |