AI-sCare+ Care Monitoring Image Analytics System
Night patrol and room checks were burdensome, while the facility needed earlier signs of abnormal events, privacy-aware operation and record management.
Results Summary
Stable inspection quality: AI-based judgment dramatically reduces human error
Reduced workload: Automated recording and assessment cuts labor hours
Fast PoC-to-production: Evaluation kit enables rapid validation and smooth transition
Customer Challenge
Night patrol and room checks were burdensome, while the facility needed earlier signs of abnormal events, privacy-aware operation and record management.
Implementation Overview
Background
Care facilities must balance resident safety and staff workload. Night patrol, records and emergency judgment can place heavy pressure on operations.
Challenges
- Room-by-room checks took time
- It was difficult to review context before and after events
- Video operation had to respect privacy rules
- The system needed phased expansion by facility scale
Implemented Solution
Room cameras, edge AI inference, WebRTC viewing, event recording and management UI were combined, with notification rules tuned to workflow.
- Low-light cameras
- Edge AI inference device
- Event notification and recording
- Management terminal and access control
Rollout
- Pilot Area
Room environment and workflow were reviewed to define a small PoC. - Detection Tuning
AI and thresholds were tuned to lighting, bed layout and notification criteria. - Operation Review
Notification, video review and record workflow were checked with staff.
Operational Change
- Patrol check points became clearer and helped staff notice state changes
- Event context became easier to review, supporting standardized records
- A structure suitable for phased expansion was established
Expansion
Room expansion, additional notification targets and links with nurse-call or record systems can be reviewed step by step.
Discuss a Similar Facility
Share facility scale and current issues if you would like a PoC designed around your room environment and workflow.
Results & Impact
Event detection, remote viewing and record review were organized so staff could judge response priority more easily.
Why CSUN
Integrated camera, embedded, AI, and connectivity: System-level optimization, not piecemeal
One-stop from PoC to mass production: Prototype evaluation → design → production → long-term supply
Flexible design for real-world constraints: Adapts to existing lines, lighting conditions, and space limits
Trilingual support (JP/ZH/EN): Global development, sourcing, and support capabilities
Technical Details
| Deployment Field | Care, Healthcare & Monitoring |
|---|---|
| Monitoring Targets | Elderly residents (fall, wandering, sudden health changes), facility residents |
| Sensors | AI Cameras (RK3399+OV4689), biometric sensors, temperature/humidity, toilet occupancy |
| Video | WebRTC P2P live video, local recording (NAS/SD card) |
| AI Processing | Edge AI (RK3399), CNN pose estimation, fall detection, wandering detection |
| Notification | Instant alerts to iPad/PC (optional cloud notifications) |
| Client Devices | iPad, iPhone, Android, Windows PC |
| Recording | Local recording, video search & download, NAS/SD card support |
| Privacy | Edge processing + blurring, cloud-independent architecture |
| Result | Night round reduction, false-positive mitigation, automated care record integration, faster incident review |
| Deployment Track Record | Deployed across 8 facilities and 700 rooms |
Related Solutions & Products
From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.
FAQ
Can this work in a similar production environment?
In most cases, yes. Please share sample images and requirements from your site. We'll propose the optimal configuration based on similar cases.
Can I consult just for a PoC?
Absolutely. We welcome PoC-only engagements. Our evaluation kit enables rapid validation.
Can we validate without stopping our existing line?
Yes. Add-on cameras or non-invasive sensors allow validation while your existing line keeps running.
Can you help with camera selection?
Yes. We'll recommend the optimal camera module based on your target objects, lighting conditions, and inspection criteria.
Facing a similar challenge?
From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.