Core AI Research
AI Medication Recognition.
Our proprietary neural networks identify thousands of medication types with 99.9% accuracy. By combining multi-spectral imaging with edge-based inference, we eliminate the risk of manual loading errors.
Research Overview
The Vision Architecture
Multi-Spectral Analysis
We don't just use RGB. Our sensors capture IR and UV signatures to verify chemical coatings and pill integrity, ensuring no counterfeit or degraded medication is dispensed.
Edge-Based Inference
All recognition happens locally on the RK3588's 6.0 TOPS NPU. Your health data never leaves the device, ensuring absolute privacy and zero-latency safety enforcement.
Research Milestones
- 50,000+ Medication Dataset
- <200ms Recognition Speed
- Cross-Lighting Robustness
- Modular Fine-Tuning Layer