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.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical 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
License
Model:BSD-3-CLAUSE
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
Looking for more? See models created by industry leaders.
Discover Model Makers