This demo implements an algorithm for barcode detection using the CertusPro-NX Voice and Vision Machine Learning Board that implements camera barcode detection capabilities based on Yolov5 NN models.
Highly Customizable – A reference design is provided with end-to-end components to allow modification of any component.
Rapid Implementation – The demo utilizes the popular Lattice’s Development Kit, which provides all components from image sensor to output to host system.
Features
- Barcode Demo is able to detect barcodes in static and dynamic objects
- Design is based on Yolov5 light weight network
- Total power consumption of CertusPro-NX FPGA is less than 400 mW
- Uses on-board low power VGA image sensor, image sensor can be customized
To learn more about this product design and request the complete source code, click here to contact us.
