Qualcomm® AI HubAI Hub

PPE-Detection

Object detection for personal protective equipments (PPE).

Detect if a person is wearing personal protective equipments (PPE) in real‑time. This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset, but can be used on any image.

Model RepositoryHugging Face

Technical Details

Inference latency:RealTime
Input resolution:320x192
Number of output classes:2
Number of parameters:6.19M
Model size (float):23.6 MB
Model size (w8a8):6.23 MB
Model size (w8a16):6.65 MB

Applicable Scenarios

  • Protective Gear Detection
  • Mask Detection

Licenses

Source Model:BSD-3-CLAUSE
Deployable Model:AI-HUB-MODELS-LICENSE

Tags

  • real-time

Supported IoT Devices

  • QCS6490 (Proxy)
  • QCS8250 (Proxy)
  • QCS8275 (Proxy)
  • QCS8550 (Proxy)
  • QCS9075 (Proxy)
  • RB3 Gen 2 (Proxy)
  • RB5 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS6490 (Proxy)
  • Qualcomm® QCS8250 (Proxy)
  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075 (Proxy)

Looking for more? See models created by industry leaders.

Discover Model Makers