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PPE-Detection

Object Detection
PyTorch
LiteRT
real_time
bu_iot
android
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PPE-Detection: Optimized for Mobile Deployment

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.

This repository provides scripts to run PPE-Detection on Qualcomm® devices. More details on model performance across various devices, can be found here.

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
Model Precision Device Chipset Target Runtime Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit Target Model
PPE-Detection float QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) TFLITE 5.178 ms 0 - 159 MB NPU PPE-Detection.tflite
PPE-Detection float QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) QNN_DLC 4.86 ms 1 - 170 MB NPU PPE-Detection.dlc
PPE-Detection float QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) TFLITE 2.767 ms 0 - 152 MB NPU PPE-Detection.tflite
PPE-Detection float QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) QNN_DLC 1.988 ms 1 - 146 MB NPU PPE-Detection.dlc
PPE-Detection float QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) TFLITE 1.381 ms 0 - 2 MB NPU PPE-Detection.tflite
PPE-Detection float QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) QNN_DLC 1.115 ms 1 - 3 MB NPU PPE-Detection.dlc
PPE-Detection float QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) ONNX 1.539 ms 0 - 15 MB NPU PPE-Detection.onnx.zip
PPE-Detection float QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) TFLITE 2.043 ms 0 - 153 MB NPU PPE-Detection.tflite
PPE-Detection float QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) QNN_DLC 7.144 ms 1 - 164 MB NPU PPE-Detection.dlc
PPE-Detection float SA7255P ADP Qualcomm® SA7255P TFLITE 5.178 ms 0 - 159 MB NPU PPE-Detection.tflite
PPE-Detection float SA7255P ADP Qualcomm® SA7255P QNN_DLC 4.86 ms 1 - 170 MB NPU PPE-Detection.dlc
PPE-Detection float SA8255 (Proxy) Qualcomm® SA8255P (Proxy) TFLITE 1.387 ms 0 - 2 MB NPU PPE-Detection.tflite
PPE-Detection float SA8255 (Proxy) Qualcomm® SA8255P (Proxy) QNN_DLC 1.116 ms 1 - 3 MB NPU PPE-Detection.dlc
PPE-Detection float SA8295P ADP Qualcomm® SA8295P TFLITE 2.65 ms 0 - 141 MB NPU PPE-Detection.tflite
PPE-Detection float SA8295P ADP Qualcomm® SA8295P QNN_DLC 2.217 ms 0 - 136 MB NPU PPE-Detection.dlc
PPE-Detection float SA8650 (Proxy) Qualcomm® SA8650P (Proxy) TFLITE 1.372 ms 0 - 3 MB NPU PPE-Detection.tflite
PPE-Detection float SA8650 (Proxy) Qualcomm® SA8650P (Proxy) QNN_DLC 1.107 ms 1 - 3 MB NPU PPE-Detection.dlc
PPE-Detection float SA8775P ADP Qualcomm® SA8775P TFLITE 2.043 ms 0 - 153 MB NPU PPE-Detection.tflite
PPE-Detection float SA8775P ADP Qualcomm® SA8775P QNN_DLC 7.144 ms 1 - 164 MB NPU PPE-Detection.dlc
PPE-Detection float Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile TFLITE 0.98 ms 0 - 185 MB NPU PPE-Detection.tflite
PPE-Detection float Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile QNN_DLC 0.792 ms 0 - 201 MB NPU PPE-Detection.dlc
PPE-Detection float Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile ONNX 1.096 ms 0 - 192 MB NPU PPE-Detection.onnx.zip
PPE-Detection float Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile TFLITE 0.761 ms 0 - 153 MB NPU PPE-Detection.tflite
PPE-Detection float Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile QNN_DLC 0.614 ms 1 - 169 MB NPU PPE-Detection.dlc
PPE-Detection float Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile ONNX 0.839 ms 0 - 133 MB NPU PPE-Detection.onnx.zip
PPE-Detection float Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile TFLITE 0.615 ms 0 - 160 MB NPU PPE-Detection.tflite
PPE-Detection float Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile QNN_DLC 0.494 ms 1 - 174 MB NPU PPE-Detection.dlc
PPE-Detection float Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile ONNX 0.761 ms 0 - 150 MB NPU PPE-Detection.onnx.zip
PPE-Detection float Snapdragon X Elite CRD Snapdragon® X Elite QNN_DLC 1.337 ms 1 - 1 MB NPU PPE-Detection.dlc
PPE-Detection float Snapdragon X Elite CRD Snapdragon® X Elite ONNX 1.475 ms 12 - 12 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a16 Dragonwing Q-6690 MTP Qualcomm® Qcm6690 QNN_DLC 6.57 ms 0 - 167 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Dragonwing Q-6690 MTP Qualcomm® Qcm6690 ONNX 51.667 ms 27 - 42 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a16 Dragonwing RB3 Gen 2 Vision Kit Qualcomm® QCS6490 QNN_DLC 3.02 ms 0 - 2 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Dragonwing RB3 Gen 2 Vision Kit Qualcomm® QCS6490 ONNX 90.316 ms 26 - 31 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a16 QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) QNN_DLC 2.132 ms 0 - 127 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) QNN_DLC 1.184 ms 0 - 153 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) QNN_DLC 0.859 ms 0 - 2 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) ONNX 1.182 ms 0 - 10 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a16 QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) QNN_DLC 1.109 ms 0 - 128 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 RB5 (Proxy) Qualcomm® QCS8250 (Proxy) ONNX 40.069 ms 19 - 35 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a16 SA7255P ADP Qualcomm® SA7255P QNN_DLC 2.132 ms 0 - 127 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 SA8255 (Proxy) Qualcomm® SA8255P (Proxy) QNN_DLC 0.86 ms 0 - 2 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 SA8295P ADP Qualcomm® SA8295P QNN_DLC 1.524 ms 0 - 150 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 SA8650 (Proxy) Qualcomm® SA8650P (Proxy) QNN_DLC 0.858 ms 0 - 2 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 SA8775P ADP Qualcomm® SA8775P QNN_DLC 1.109 ms 0 - 128 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile QNN_DLC 0.576 ms 0 - 158 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile ONNX 0.753 ms 0 - 135 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a16 Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile QNN_DLC 0.455 ms 0 - 130 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile ONNX 0.604 ms 0 - 110 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a16 Snapdragon 7 Gen 4 QRD Snapdragon® 7 Gen 4 Mobile QNN_DLC 1.041 ms 0 - 151 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Snapdragon 7 Gen 4 QRD Snapdragon® 7 Gen 4 Mobile ONNX 49.474 ms 27 - 43 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a16 Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile QNN_DLC 0.378 ms 0 - 132 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile ONNX 0.545 ms 0 - 111 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a16 Snapdragon X Elite CRD Snapdragon® X Elite QNN_DLC 1.05 ms 0 - 0 MB NPU PPE-Detection.dlc
PPE-Detection w8a16 Snapdragon X Elite CRD Snapdragon® X Elite ONNX 1.115 ms 6 - 6 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a8 Dragonwing Q-6690 MTP Qualcomm® Qcm6690 TFLITE 4.587 ms 0 - 160 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 Dragonwing Q-6690 MTP Qualcomm® Qcm6690 QNN_DLC 3.334 ms 0 - 163 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Dragonwing Q-6690 MTP Qualcomm® Qcm6690 ONNX 8.67 ms 5 - 20 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a8 Dragonwing RB3 Gen 2 Vision Kit Qualcomm® QCS6490 TFLITE 3.769 ms 0 - 17 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 Dragonwing RB3 Gen 2 Vision Kit Qualcomm® QCS6490 QNN_DLC 1.933 ms 2 - 4 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Dragonwing RB3 Gen 2 Vision Kit Qualcomm® QCS6490 ONNX 15.86 ms 4 - 13 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a8 QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) TFLITE 1.397 ms 0 - 125 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) QNN_DLC 1.225 ms 0 - 125 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) TFLITE 0.846 ms 0 - 154 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) QNN_DLC 0.791 ms 0 - 155 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) TFLITE 0.555 ms 0 - 3 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) QNN_DLC 0.47 ms 0 - 2 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) ONNX 0.692 ms 0 - 9 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a8 QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) TFLITE 0.808 ms 0 - 125 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) QNN_DLC 0.69 ms 0 - 126 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 RB5 (Proxy) Qualcomm® QCS8250 (Proxy) ONNX 7.831 ms 5 - 21 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a8 SA7255P ADP Qualcomm® SA7255P TFLITE 1.397 ms 0 - 125 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 SA7255P ADP Qualcomm® SA7255P QNN_DLC 1.225 ms 0 - 125 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 SA8255 (Proxy) Qualcomm® SA8255P (Proxy) TFLITE 0.554 ms 0 - 2 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 SA8255 (Proxy) Qualcomm® SA8255P (Proxy) QNN_DLC 0.471 ms 0 - 2 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 SA8295P ADP Qualcomm® SA8295P TFLITE 1.099 ms 0 - 148 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 SA8295P ADP Qualcomm® SA8295P QNN_DLC 0.977 ms 0 - 132 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 SA8650 (Proxy) Qualcomm® SA8650P (Proxy) TFLITE 0.555 ms 0 - 2 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 SA8650 (Proxy) Qualcomm® SA8650P (Proxy) QNN_DLC 0.471 ms 0 - 2 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 SA8775P ADP Qualcomm® SA8775P TFLITE 0.808 ms 0 - 125 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 SA8775P ADP Qualcomm® SA8775P QNN_DLC 0.69 ms 0 - 126 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile TFLITE 0.39 ms 0 - 149 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile QNN_DLC 0.341 ms 0 - 153 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile ONNX 0.477 ms 0 - 133 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a8 Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile TFLITE 0.301 ms 0 - 132 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile QNN_DLC 0.262 ms 0 - 131 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Samsung Galaxy S25 Snapdragon® 8 Elite For Galaxy Mobile ONNX 0.393 ms 0 - 109 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a8 Snapdragon 7 Gen 4 QRD Snapdragon® 7 Gen 4 Mobile TFLITE 1.358 ms 0 - 145 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 Snapdragon 7 Gen 4 QRD Snapdragon® 7 Gen 4 Mobile QNN_DLC 0.565 ms 0 - 149 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Snapdragon 7 Gen 4 QRD Snapdragon® 7 Gen 4 Mobile ONNX 8.259 ms 6 - 23 MB CPU PPE-Detection.onnx.zip
PPE-Detection w8a8 Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile TFLITE 0.266 ms 0 - 148 MB NPU PPE-Detection.tflite
PPE-Detection w8a8 Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile QNN_DLC 0.235 ms 0 - 131 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Snapdragon 8 Elite Gen 5 QRD Snapdragon® 8 Elite Gen5 Mobile ONNX 0.362 ms 0 - 109 MB NPU PPE-Detection.onnx.zip
PPE-Detection w8a8 Snapdragon X Elite CRD Snapdragon® X Elite QNN_DLC 0.611 ms 0 - 0 MB NPU PPE-Detection.dlc
PPE-Detection w8a8 Snapdragon X Elite CRD Snapdragon® X Elite ONNX 0.633 ms 6 - 6 MB NPU PPE-Detection.onnx.zip

Installation

Install the package via pip:

pip install qai-hub-models

Configure Qualcomm® AI Hub Workbench to run this model on a cloud-hosted device

Sign-in to Qualcomm® AI Hub Workbench with your Qualcomm® ID. Once signed in navigate to Account -> Settings -> API Token.

With this API token, you can configure your client to run models on the cloud hosted devices.

qai-hub configure --api_token API_TOKEN

Navigate to docs for more information.

Demo off target

The package contains a simple end-to-end demo that downloads pre-trained weights and runs this model on a sample input.

python -m qai_hub_models.models.gear_guard_net.demo

The above demo runs a reference implementation of pre-processing, model inference, and post processing.

NOTE: If you want running in a Jupyter Notebook or Google Colab like environment, please add the following to your cell (instead of the above).

%run -m qai_hub_models.models.gear_guard_net.demo

Run model on a cloud-hosted device

In addition to the demo, you can also run the model on a cloud-hosted Qualcomm® device. This script does the following:

  • Performance check on-device on a cloud-hosted device
  • Downloads compiled assets that can be deployed on-device for Android.
  • Accuracy check between PyTorch and on-device outputs.
python -m qai_hub_models.models.gear_guard_net.export

How does this work?

This export script leverages Qualcomm® AI Hub to optimize, validate, and deploy this model on-device. Lets go through each step below in detail:

Step 1: Compile model for on-device deployment

To compile a PyTorch model for on-device deployment, we first trace the model in memory using the jit.trace and then call the submit_compile_job API.

import torch

import qai_hub as hub
from qai_hub_models.models.gear_guard_net import Model

# Load the model
torch_model = Model.from_pretrained()

# Device
device = hub.Device("Samsung Galaxy S25")

# Trace model
input_shape = torch_model.get_input_spec()
sample_inputs = torch_model.sample_inputs()

pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])

# Compile model on a specific device
compile_job = hub.submit_compile_job(
    model=pt_model,
    device=device,
    input_specs=torch_model.get_input_spec(),
)

# Get target model to run on-device
target_model = compile_job.get_target_model()

Step 2: Performance profiling on cloud-hosted device

After compiling models from step 1. Models can be profiled model on-device using the target_model. Note that this scripts runs the model on a device automatically provisioned in the cloud. Once the job is submitted, you can navigate to a provided job URL to view a variety of on-device performance metrics.

profile_job = hub.submit_profile_job(
    model=target_model,
    device=device,
)

Step 3: Verify on-device accuracy

To verify the accuracy of the model on-device, you can run on-device inference on sample input data on the same cloud hosted device.

input_data = torch_model.sample_inputs()
inference_job = hub.submit_inference_job(
    model=target_model,
    device=device,
    inputs=input_data,
)
    on_device_output = inference_job.download_output_data()

With the output of the model, you can compute like PSNR, relative errors or spot check the output with expected output.

Note: This on-device profiling and inference requires access to Qualcomm® AI Hub Workbench. Sign up for access.

Run demo on a cloud-hosted device

You can also run the demo on-device.

python -m qai_hub_models.models.gear_guard_net.demo --eval-mode on-device

NOTE: If you want running in a Jupyter Notebook or Google Colab like environment, please add the following to your cell (instead of the above).

%run -m qai_hub_models.models.gear_guard_net.demo -- --eval-mode on-device

Deploying compiled model to Android

The models can be deployed using multiple runtimes:

  • TensorFlow Lite (.tflite export): This tutorial provides a guide to deploy the .tflite model in an Android application.

  • QNN (.so export ): This sample app provides instructions on how to use the .so shared library in an Android application.

View on Qualcomm® AI Hub

Get more details on PPE-Detection's performance across various devices here. Explore all available models on Qualcomm® AI Hub

License

  • The license for the original implementation of PPE-Detection can be found here.

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