Hand Detection

Introduction

⚠️ I. Industrial Safety's Critical Challenge & AI Intervention Imperative

Worker safety faces severe threats in environments with high-speed machinery, automated production lines, and extreme-temperature zones. Traditional safeguards like physical barriers, sensor gates, or wearable gear suffer from critical limitations: delayed response times during rapid operations, restricted applicability across complex machinery, and compromised productivity during safety interventions. This persistent risk-reliability gap demands intelligent, real-time protection systems.

🤖 II. Arducam's Vision AI Revolution: SONY IMX500-Powered Hand Detection

Core Solution:

Arducam's embedded vision system deploys SONY IMX500-powered AI cameras with integrated YOLOv8n models for millimeter-accurate hand detection. This edge-computing solution can be used to continuously monitor hazardous zones, triggering instant machine shutdown or visual alerts within a short time when hands breach safety perimeters.

SONY IMX500 Ecosystem Advantage:

First intelligent vision sensor with integrated AI processing On-sensor machine learning eliminates cloud dependency 12.3MP resolution with ultra-low 100mW power consumption

⚡ III. Advantages of Arducam AI Camera Solution

By combining Sony's revolutionary imaging technology with mission-critical edge AI technology, we are committed to creating a truly intelligent security ecosystem. This solution aims to solve the industry's fundamental dilemma (security vs. productivity) and hopes to promote steady development of the entire industry.

AI Model Example

Hardware Preparation

The following demo is based on Arducam IMX500 Raspberry Pi 5 All-in-one AI Camera Kit:

Product Image	SKU	Resolution	Sensor	Lens Mount	Focus Type	Field of View(DxHxV)	IR Sensitivity	Power Requirements	Operating Temp.
	B0540	12.3MP	SONY IMX500	Stock Lens	Fixed Focs	78±3°(D)×66±3°(H)×52.3±3°(V)	Integral 650nm IR Filter	Max 7.5W	0°C to 50°C

Software Preparation

Export IMX500 AI model compressed package

IMX500 AI Model Package-Hand Detection

Deployment

Start the IMX500 Raspberry Pi All-in-One and run the following code to install the environment

sudo apt update && sudo apt full-upgrade
sudo apt install imx500-all imx500-tools
sudo apt install python3-opencv python3-munkres

Use the following command to package the IMX500 model into rpk (note to replace the path example below with the actual path)

imx500-package -i <path to packerOut.zip> -o <output folder>

Download and install picamera2, and run the startup script (note to replace the actual rpk model path)

git clone https://github.com/raspberrypi/picamera2
cd picamera2
pip install -e .  --break-system-packages
cd examples/imx500
python imx500_object_detection_demo.py --model ~/dev_workspace/output/network.rpk --fps 17 --bbox-normalization --ignore-dash-labels --bbox-order xy --labels ~/dev_workspace/hand.txt