Head Detection
Introduction
🛒 I. Customer behavior analysis in smart retail scenarios
In smart retail scenarios, head detection is widely used in customer behavior analysis, such as counting customer stay time, trajectory heat map, and product area of interest. Traditional data collection solutions that rely on server-side processing have problems such as high latency and high bandwidth pressure.
🤖 II. Arducam's Edge AI Revolution: SONY IMX500-Driven Retail Ecosystem
Core Solution:
As an edge computing device, Arducam embedded AI cameras can complete head detection and behavior analysis locally in real time, greatly improving response speed and system stability. By deploying lightweight models, these cameras can detect the customer's head position in real time at key locations such as shelves and entrances and exits, realize functions such as head counting, interest area analysis, and queue detection, and help stores optimize display layout and operation strategies.
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
Compared with traditional methods, Arducam's AI solution has significant advantages such as flexible deployment, rapid response, offline operation, and low energy consumption. It is particularly suitable for scenarios such as warehousing sorting, production line traceability, and unmanned retail terminals.
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-Head 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/head.txt
