Care / Medical / Monitoring / Image Analysis

AI Care Monitoring Image Analysis Solution

Care monitoring solution using image analysis to detect signs of falls, bed-leaving and unusual behavior in senior care facilities.

Are you facing these challenges?

Severe staff shortages in care facilities make night monitoring a heavy burden, contributing to staff turnover.

Early detection of falls and sudden health changes is difficult — delayed discovery can lead to serious outcomes.

Privacy concerns around camera monitoring prevent many facilities from gaining resident and family acceptance, blocking adoption.

Care monitoring challenges

Reduce Care Monitoring Workload with Edge AI

Care facilities need both safety and operational efficiency. CSUN combines room cameras, edge AI, notifications, recording and WebRTC viewing into a monitoring system aligned with facility workflows.

Use Cases

  • Signs of falls, bed-leaving and long stays in rooms
  • Support for night patrol and event review
  • Notifications to staff smartphones and management terminals
  • Video control designed around facility privacy policies

Problems We Help Solve

  • Detect state changes earlier
  • Reduce unnecessary video checks and clarify response priority
  • Enable on-premises inference and event notification
  • Review integration with existing networks and nurse-call systems

System Architecture

Room cameras, AI inference devices, notification server, management UI and storage are configured according to facility scale. Access control and recording rules are designed with privacy in mind.

  • Low-light or infrared cameras
  • Edge AI inference board
  • WebRTC viewing, event recording and log management
  • Management terminals, smartphone notifications and system interfaces

Why It Is Practical

  • Implementation know-how from AI-sCare+ care monitoring
  • Tuning for room layout, lighting and bed position
  • Small-floor pilot and phased rollout support

Discuss Facility Deployment

We review room count, network, notification workflow and privacy rules, then propose a PoC scope and rollout path.

Expected Benefits

1

Edge AI keeps video local — only anomaly alerts are sent. 24/7 safety with privacy fully protected.

2

Automatic detection of falls, bed exits, and wandering significantly reduces night patrol burden, freeing staff for core care duties.

3

24/7 reliable operation improves emergency response times, giving residents and families greater peace of mind.

Applicable Industries & Use Cases

Manufacturing & Visual InspectionMedical & HealthcareAgriculture & FoodLogistics & AutomationSecurity & SurveillanceR&D & PoC

Technical Details

Image AnalysisAI image analysis (pose estimation, fall detection, wandering detection)
IoT SensorsBiometric, temperature/humidity, toilet occupancy, ambient light, door contact
Live VideoWebRTC P2P low-latency live video
RecordingLocal recording (NAS/SD card), video search & download
NotificationInstant alerts to iPad/PC
Client DevicesiPad, iPhone, Android, Windows PC
PrivacyEdge processing + blurring, cloud-independent
AI EngineRK3399 / NanoPi R6S, CNN inference engine
Cloud ExtensionOptional: cloud notifications, remote monitoring
CustomizationCustom-tailored to facility operations and layout
Deployment Track RecordDeployed across 8 facilities and 700 rooms

Related Products

AI Vision Kit

RV1126B AI Vision Kit

RV1126B NPU evaluation kit for AI camera PoC, video streaming, recording and production planning.

RV1126BEdge AIMIPI CameraWebRTCPoC
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Camera Module

Industrial Camera Modules

USB/MIPI industrial camera modules selected and customized around image quality, field of view, low-light needs and enclosure constraints.

Camera ModuleUSBMIPIIndustrial VisionLow Light
Details

Related Documents & Resources

From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.

Request Related Materials

FAQ

Can you customize camera modules?

Yes, we offer customization from lens selection, FOV, interface (MIPI/USB/CSI) to enclosure design, tailored to your product requirements. Please share your needs first.

Can we start with a production-oriented PoC consultation?

Absolutely. CSUN's strength is end-to-end support from prototype to mass production. We propose designs with production in mind from the PoC stage, enabling a smooth transition to volume manufacturing.

Do you provide WebRTC recording and AI SDK?

Yes, the RV1126B AI Vision Kit provides P2P/WebRTC streaming, recording pipeline, and AI inference SDK in one package. API documentation and sample code are also available.

Are evaluation samples available for the QR code reading module?

Yes, we offer evaluation sample loans. You can test reading performance in your actual usage environment. Please contact us via the inquiry form.

Can you support mass production and long-term supply for the Japanese market?

Yes, CSUN has 15+ years of track record in the Japanese market, with numerous mass production and long-term supply achievements: 20k digital piano units, 5k+ camera modules, 500 logistics devices, and more. Our entire operation — from component selection and quality management to after-sales support — is built for long-term supply.

Planning an AI vision or edge AI solution?

From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.

Related Case Studies

Proven results related to this solution.

Care / Medical Monitoring Image Analysis

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.

AI画像解析介護見守りWebRTCEdge AIイベント録画
Details