This Multi Object Detection (MOD) reference design enables real-time detection, classification, and tracking of multiple objects in images and video streams at the edge. Built on the Lattice CertusPro-NX FPGA System-on-Module (SOM), the design integrates compute, memory, connectivity, and AI acceleration for robust, low-power vision intelligence in industrial, robotics, automotive, and smart camera applications.
The MOD reference design supports:
- Simultaneous detection and tracking of multiple object classes
- Dynamic overlay of bounding boxes and labels on video output
- Scalable architecture for high-resolution image processing
- Seamless integration with host processors (e.g., Raspberry Pi CM5) via MIPI and I2C
- Flexible deployment for counting, classification, and defect detection use cases
Features
- Identify and track several objects at once, even in dynamic or crowded scenes
- Efficient AI models optimized for edge devices, enabling always-on operation
- Identify and track several objects at once, even in dynamic or crowded scenes
- Supports a wide range of object classes and deployment scenarios
- Easily connects to existing infrastructure and legacy systems
- Accurate detection and tracking for safety-critical and monitoring applications
