--- library_name: pytorch license: other tags: - real_time - bu_iot - android pipeline_tag: object-detection --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/web-assets/model_demo.png) # PPE-Detection: Optimized for Qualcomm Devices 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. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/gear_guard_net) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary). Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device. ## Getting Started There are two ways to deploy this model on your device: ### Option 1: Download Pre-Exported Models Below are pre-exported model assets ready for deployment. | Runtime | Precision | Chipset | SDK Versions | Download | |---|---|---|---|---| | ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-onnx-float.zip) | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-onnx-w8a16.zip) | ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-onnx-w8a8.zip) | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-qnn_dlc-float.zip) | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-qnn_dlc-w8a16.zip) | QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-qnn_dlc-w8a8.zip) | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-tflite-float.zip) | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gear_guard_net/releases/v0.51.0/gear_guard_net-tflite-w8a8.zip) For more device-specific assets and performance metrics, visit **[PPE-Detection on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/gear_guard_net)**. ### Option 2: Export with Custom Configurations Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/gear_guard_net) Python library to compile and export the model with your own: - Custom weights (e.g., fine-tuned checkpoints) - Custom input shapes - Target device and runtime configurations This option is ideal if you need to customize the model beyond the default configuration provided here. See our repository for [PPE-Detection on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/gear_guard_net) for usage instructions. ## Model Details **Model Type:** Model_use_case.object_detection **Model Stats:** - 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 ## Performance Summary | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |---|---|---|---|---|---|--- | PPE-Detection | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.543 ms | 0 - 64 MB | NPU | PPE-Detection | ONNX | float | Snapdragon® X2 Elite | 0.604 ms | 13 - 13 MB | NPU | PPE-Detection | ONNX | float | Snapdragon® X Elite | 1.506 ms | 12 - 12 MB | NPU | PPE-Detection | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.918 ms | 0 - 95 MB | NPU | PPE-Detection | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.302 ms | 0 - 109 MB | NPU | PPE-Detection | ONNX | float | Qualcomm® QCS9075 | 2.534 ms | 1 - 3 MB | NPU | PPE-Detection | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.706 ms | 0 - 58 MB | NPU | PPE-Detection | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.397 ms | 0 - 43 MB | NPU | PPE-Detection | ONNX | w8a16 | Snapdragon® X2 Elite | 0.425 ms | 6 - 6 MB | NPU | PPE-Detection | ONNX | w8a16 | Snapdragon® X Elite | 1.09 ms | 6 - 6 MB | NPU | PPE-Detection | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.597 ms | 0 - 66 MB | NPU | PPE-Detection | ONNX | w8a16 | Qualcomm® QCS6490 | 82.356 ms | 30 - 34 MB | CPU | PPE-Detection | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.914 ms | 0 - 9 MB | NPU | PPE-Detection | ONNX | w8a16 | Qualcomm® QCS9075 | 1.446 ms | 0 - 3 MB | NPU | PPE-Detection | ONNX | w8a16 | Qualcomm® QCM6690 | 37.025 ms | 29 - 37 MB | CPU | PPE-Detection | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.465 ms | 0 - 44 MB | NPU | PPE-Detection | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 28.723 ms | 28 - 37 MB | CPU | PPE-Detection | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.252 ms | 0 - 42 MB | NPU | PPE-Detection | ONNX | w8a8 | Snapdragon® X2 Elite | 0.23 ms | 6 - 6 MB | NPU | PPE-Detection | ONNX | w8a8 | Snapdragon® X Elite | 0.653 ms | 6 - 6 MB | NPU | PPE-Detection | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.364 ms | 0 - 66 MB | NPU | PPE-Detection | ONNX | w8a8 | Qualcomm® QCS6490 | 15.834 ms | 5 - 13 MB | CPU | PPE-Detection | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.507 ms | 0 - 9 MB | NPU | PPE-Detection | ONNX | w8a8 | Qualcomm® QCS9075 | 0.828 ms | 0 - 3 MB | NPU | PPE-Detection | ONNX | w8a8 | Qualcomm® QCM6690 | 9.016 ms | 5 - 14 MB | CPU | PPE-Detection | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.294 ms | 0 - 36 MB | NPU | PPE-Detection | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 6.753 ms | 5 - 14 MB | CPU | PPE-Detection | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.473 ms | 0 - 56 MB | NPU | PPE-Detection | QNN_DLC | float | Snapdragon® X2 Elite | 0.657 ms | 1 - 1 MB | NPU | PPE-Detection | QNN_DLC | float | Snapdragon® X Elite | 1.295 ms | 1 - 1 MB | NPU | PPE-Detection | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.804 ms | 0 - 72 MB | NPU | PPE-Detection | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.911 ms | 1 - 54 MB | NPU | PPE-Detection | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.118 ms | 1 - 2 MB | NPU | PPE-Detection | QNN_DLC | float | Qualcomm® SA8775P | 1.794 ms | 0 - 60 MB | NPU | PPE-Detection | QNN_DLC | float | Qualcomm® QCS9075 | 2.266 ms | 3 - 5 MB | NPU | PPE-Detection | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.965 ms | 0 - 47 MB | NPU | PPE-Detection | QNN_DLC | float | Qualcomm® SA7255P | 4.911 ms | 1 - 54 MB | NPU | PPE-Detection | QNN_DLC | float | Qualcomm® SA8295P | 2.232 ms | 0 - 27 MB | NPU | PPE-Detection | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.612 ms | 1 - 57 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.355 ms | 0 - 39 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.493 ms | 0 - 0 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.965 ms | 0 - 0 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.541 ms | 0 - 53 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 3.022 ms | 0 - 2 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 2.006 ms | 0 - 33 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.797 ms | 0 - 8 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.028 ms | 0 - 37 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.309 ms | 0 - 2 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 6.359 ms | 0 - 168 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 1.114 ms | 0 - 55 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.006 ms | 0 - 33 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.473 ms | 0 - 34 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.427 ms | 0 - 39 MB | NPU | PPE-Detection | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.949 ms | 0 - 39 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.227 ms | 0 - 38 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.347 ms | 0 - 0 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.597 ms | 0 - 0 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.334 ms | 0 - 53 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.87 ms | 2 - 4 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.228 ms | 0 - 32 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.472 ms | 0 - 2 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.686 ms | 0 - 35 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.759 ms | 0 - 2 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 3.29 ms | 0 - 171 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.757 ms | 0 - 56 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.228 ms | 0 - 32 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.952 ms | 0 - 31 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.271 ms | 0 - 37 MB | NPU | PPE-Detection | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.578 ms | 0 - 37 MB | NPU | PPE-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.467 ms | 0 - 61 MB | NPU | PPE-Detection | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.79 ms | 0 - 82 MB | NPU | PPE-Detection | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 4.917 ms | 0 - 57 MB | NPU | PPE-Detection | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.098 ms | 0 - 4 MB | NPU | PPE-Detection | TFLITE | float | Qualcomm® SA8775P | 1.819 ms | 0 - 65 MB | NPU | PPE-Detection | TFLITE | float | Qualcomm® QCS9075 | 2.273 ms | 0 - 16 MB | NPU | PPE-Detection | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.994 ms | 0 - 52 MB | NPU | PPE-Detection | TFLITE | float | Qualcomm® SA7255P | 4.917 ms | 0 - 57 MB | NPU | PPE-Detection | TFLITE | float | Qualcomm® SA8295P | 2.244 ms | 0 - 30 MB | NPU | PPE-Detection | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.62 ms | 0 - 62 MB | NPU | PPE-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.258 ms | 0 - 37 MB | NPU | PPE-Detection | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.389 ms | 0 - 52 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.552 ms | 0 - 16 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.421 ms | 0 - 31 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.549 ms | 0 - 37 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® SA8775P | 0.788 ms | 0 - 34 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.889 ms | 0 - 9 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® QCM6690 | 4.738 ms | 0 - 164 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.849 ms | 0 - 52 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® SA7255P | 1.421 ms | 0 - 31 MB | NPU | PPE-Detection | TFLITE | w8a8 | Qualcomm® SA8295P | 1.098 ms | 0 - 33 MB | NPU | PPE-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.312 ms | 0 - 37 MB | NPU | PPE-Detection | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.31 ms | 0 - 37 MB | NPU ## License * The license for the original implementation of PPE-Detection can be found [here](https://github.com/quic/ai-hub-models/blob/main/LICENSE). ## Community * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).