AI & Edge ComputingFeatured
Aug 30, 2026
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Architecting Sight Bridge AI: On-Device LiteRT & Multimodal Edge Radar

How we achieved sub-25ms walking hazard reflex detection running 100% on-device with TensorFlow Lite/LiteRT and multimodal Gemini assistant integration.

Architecting Sight Bridge AI: On-Device LiteRT & Multimodal Edge Radar

Architecting Sight Bridge AI: On-Device LiteRT & Multimodal Edge Radar

Building assistive technology for the visually impaired requires uncompromising reliability, zero latency, and strict user privacy.

Zero Latency at the Edge

Cloud APIs introduce latency that can be hazardous when walking on crowded streets. Sight Bridge AI processes camera frames locally in under 25ms using optimized LiteRT models to detect curbs, stairs, and obstacles in real-time.

Multimodal Generative AI

When users need scene descriptions or reading text, a simple gesture activates Google Gemini / Gemma multimodal capabilities to provide rich, spatial descriptions with natural bilingual speech synthesis.

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