Computer Vision on a Smartphone: Lessons from Building Clinical-Grade Movement Tracking
Computer vision gets harder outside controlled labs. Smartphones are becoming powerful sensing platforms, opening new possibilities for healthcare, accessibility, and human-centered AI. "Computer Vision on a Smartphone: Lessons from Building Clinical-Grade Movement Tracking" turns that scenario into a session where Temidire Adesiji walks through lessons from clinical movement tracking on smartphones, where reliability and trust matter.
Session details
Smartphones are becoming powerful sensing platforms, opening new possibilities for healthcare, accessibility, and human-centered AI. But building reliable computer vision systems outside controlled environments introduces major technical and product challenges. This talk shares lessons from building a smartphone-based movement tracking platform designed to monitor neurological conditions in children using computer vision and gait analysis. We’ll explore the engineering challenges of deploying vision models in uncontrolled home environments, dealing with inconsistent lighting and camera angles, ensuring privacy, and balancing accuracy with real-world usability. Attendees will gain practical insights into deploying edge AI and computer vision in real-world environments where reliability and user trust are critical.
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Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Artificial Intelligence and Machine Learning
- Level
- Intermediate
- Time
- Oct 30, 2026, 7:15 AM
- Room
- Room A
- Duration
- 60 min
Speakers
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Temidire Adesiji
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LinkedIn
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Computer vision gets harder outside controlled labs. Smartphones are becoming powerful sensing platforms, opening new possibilities for healthcare, accessibility, and human-centered AI. "Computer Vision on a Smartphone: Lessons from Building Clinical-Grade Movement Tracking" turns that scenario into a session where Temidire Adesiji walks through lessons from clinical movement tracking on smartphones, where reliability and trust matter. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/computer-vision-on-a-smartphone-lessons-from-building-clinical-grade-movement-tracking/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-computer-vision-on-a-smartphone-lessons-from-building-clinical-grade-movement-tracking #MITechCon #ComputerVision #HealthcareAI #MobileAI
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Computer vision gets harder outside controlled labs. Learn lessons from clinical movement tracking on smartphones, where reliability and trust matter. https://www.mitechcon.net/sessions/computer-vision-on-a-smartphone-lessons-from-building-clinical-grade-movement-tracking/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-computer-vision-on-a-smartphone-lessons-from-building-clinical-grade-movement-tracking #MITechCon #ComputerVision
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Feature this MITechCon 2026 session in your newsletter or email: "Computer Vision on a Smartphone: Lessons from Building Clinical-Grade Movement Tracking". Computer vision gets harder outside controlled labs. Smartphones are becoming powerful sensing platforms, opening new possibilities for healthcare, accessibility, and human-centered AI. "Computer Vision on a Smartphone: Lessons from Building Clinical-Grade Movement Tracking" turns that scenario into a session where Temidire Adesiji walks through lessons from clinical movement tracking on smartphones, where reliability and trust matter. Format: Conference Session. Topic: Artificial Intelligence and Machine Learning. Level: Intermediate. Scheduled for Oct 30, 2026, 7:15 AM in Room A. Learn more and share the session: https://www.mitechcon.net/sessions/computer-vision-on-a-smartphone-lessons-from-building-clinical-grade-movement-tracking/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-computer-vision-on-a-smartphone-lessons-from-building-clinical-grade-movement-tracking
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- Updated
- 2026-07-08