Hyper-Fast
Visual Tracking
Robust Single-Object Tracking (SOT) with Re-ID capability for complex environments.
Optimized for low-power edge detection platforms. Achieving 2ms-5ms inference latency on standard embedded NPU hardware while maintaining lock-on robustness during occlusion.
Performance Data
Our algorithm is heavily optimized for INT8 quantization on RISC-V and ARM-based TPU platforms. It delivers industrial-grade real-time performance even on entry-level chips.
Test Conditions
- Input Size: 128x128 / 256x256
- Quantization: INT8
- Batch Size: 1
| Platform (Computing Power) | Inference Speed (Latency) |
|---|---|
CV184x 1.5 TOPS | 5ms |
CV186x 7.2 TOPS | 2ms Ultra-Fast |
CV181x 0.5 TOPS | 9ms |
Robust Real-World Tracking
Our proprietary algorithm maintains consistent lock-on from initial acquisition to long-range tracking, filtering out complex background clutter and static obstacles in real-time.
1. Initial Lock-On
Acquire and lock onto the target before occlusion.
2. Occlusion Handling
Maintain target identity through brief occlusion.
3. Rapid Re-Lock
Reacquire and lock immediately once the target reappears.
Ultra-Low Latency
<5ms processing time ensures direct closed-loop control for UAVs without jitter or oscillation.
Lightweight Model
Highly optimized INT8 quantization allows deployment on cost-effective chips like CV181x.
Robust Re-ID
Maintains target identity even after total occlusion, preventing "target drift" to background objects.
Multi-Scale Input
Supports 128x128 for speed and 256x256 for precision, adaptable to different sensor resolutions.
Integrate AI Tracking Today
Discuss AI tracking integration on CV18xx series chips with our engineers, or explore detection and tracking demonstrations on the OVIS camera.