Barcode Detection

Introduction

🛒 I. Retail's Efficiency Crisis & AI-Powered Transformation Opportunity

With the rapid development of smart logistics, smart retail and industrial automation, barcodes, as an important carrier of information identification, are becoming increasingly popular in various application scenarios. Traditional barcode detection and recognition systems usually rely on high-performance PCs or cloud servers, and have problems such as response delays, strong network dependence, and low data security, which makes it difficult to meet the requirements of real-time and stability requirements in the field environment.

🤖 II. Arducam's Edge AI Revolution: SONY IMX500-Driven Retail Ecosystem

Core Solution:

Against the background of increasing demand for automation in the retail industry, Arducam's AI barcode detection solution combining embedded hardware and edge computing came into being. This solution deploys lightweight deep learning models on low-power embedded platforms to achieve local high-speed detection of barcodes.

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 Dataset

Arducam Pre-trained Barcode Code detection dataset

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-Barcode 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/barcode.txt