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Contextual Sensing for Care
Smart Care Vision
AI That Understands What It Sees
A camera system that comprehends, not just records. Guardian mode for elderly, Ally mode for neurodiverse individuals.
Concept · Seeking collaborators
140M+
elderly Indians who live with limited or no daily assistance
The problem
Standard surveillance cameras see everything but understand nothing. They cannot tell if an elderly person has fallen or if a child with autism is in distress. Families hire human watchers — expensive, inconsistent, and not scalable.
Our approach
Smart Care Vision uses contextual AI to interpret scenes, not just capture them. In Guardian Mode, it detects falls, wandering, and medication adherence for elderly care. In Ally Mode, it recognizes meltdown precursors, self-stimulatory patterns, and engagement levels in neurodiverse children.
How it would work
1
Guardian Mode
Fall detection, wandering alerts, and medication reminders for elderly individuals living alone.
2
Ally Mode
Recognizes stress signals, meltdown precursors, and engagement levels in neurodiverse children.
3
Privacy-First Architecture
Edge processing with no cloud dependency. What the camera sees stays in the home.
4
Caregiver Dashboard
Real-time status and historical patterns accessible from anywhere via phone.
Help us build Smart Care Vision
Smart Care Vision is a concept born from 10 years of fieldwork with children and families. It exists as a research proposal — not yet a product.
We are looking for researchers, engineering teams, sponsors, and institutional partners to move this from idea to reality. If this problem matters to you, we would love to hear from you.