DRISHTI
A Raspberry Pi wearable that guides the visually impaired with real-time multimodal sensing.
DRISHTI is a Raspberry Pi 5-based wearable that fuses YOLOv8-nano object detection, ultrasonic ranging, on-device face recognition, and image captioning into real-time navigation for visually-impaired users — reaching 98.42% detection precision at 25 ms latency, fully offline. Presented at the ICTIS 2026 Conference, Bangkok, Thailand.
Assistive navigation has to be real-time, wearable, and reliable exactly when connectivity drops — yet most solutions are bulky, cloud-dependent, or too slow to trust on the move.
A Raspberry Pi 5 platform runs YOLOv8-nano detection, ultrasonic distance sensing, KNN-based on-device face recognition with dynamic enrollment, and image captioning — fused into multimodal voice and haptic feedback for situational awareness, with zero cloud dependence.
- 1Real-time inference within a Raspberry Pi's power and compute budget.
- 2Fusing vision, ranging, and audio into calm, non-overwhelming guidance.
- 3On-device face recognition with dynamic enrollment and no cloud.
- 98.42% detection precision at 25 ms, fully offline on a Pi 5.
- Vision + ultrasonic + face recognition + captioning, fused.
- Published at ICTIS 2026, Bangkok, Thailand.