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Connecting Cameras to Edge AI for Resident Safety
Stream video from cameras to a local AI box for illegal intrusion and property damage detection.
Campus Safety Management
Visitor Flow Management for Tourist Attractions, Industrial Park Safety Management
An easy-to-deploy solution for personnel tracking and hazard alerts to ensure safety.
Solution Overview
Low-power tracking tags combined with edge AI capabilities enable personnel tracking and behavioral analysis for comprehensive safety management.
Indoor/Outdoor Integrated Positioning
- Indoor/Outdoor Multimodal Localization
- Intelligently switching of signal sources
- Easily configured via the mobile app
Privacy-Focused AI Computing
- Low-latency AI inference on-device
- Local data processing ensures privacy
- One-click AI model deployment via the SenseCraft AI
Easy to Deploy & Maintain
- Low-power devices with multi-year battery life
- Long-range transmission reduces indoor wiring
- Comprehensive Data interfaces for system integration
Scenario & Product
Pain Points & Challenges
Positioning solutions often have high deployment costs, poor device battery life, and difficult maintenance. Discontinuous indoor and outdoor tracking requires different devices, posing significant challenges to security management and operational efficiency.
Seeed's Solution
Using low-power modules combined with Bluetooth, Wi-Fi, and GPS technologies, we reduce maintenance costs and eliminate indoor/outdoor tracking blind spots.
- 3m indoor positioning accuracy
- Easy-to-install indoor devices
- Comprehensive API data interfaces
Pain Points & Challenges
When a dangerous situation occurs on campus, the lack of a unified and reliable reporting channel makes it difficult to locate the incident and respond promptly, leading to delayed emergency response and endangering personnel and property.
Seeed's Solution
Campus members can carry a safety badge that allows for one-click, low-latency emergency reporting over a dedicated channel.
- One-click alarm via badge
- Reliable long-range reporting
- Comprehensive API data interfaces
Pain Points & Challenges
Traditional manual video surveillance is inefficient, prone to missing events, and has high labor costs. It struggles to provide 24/7 real-time detection and alerts for anomalies like intrusions, falls, or fires, resulting in slow emergency response.
Seeed's Solution
Edge AI models analyze video streams for behavior recognition, detecting intrusions, loitering, falls, or fires in milliseconds and automatically triggering security system integrations.
- Low-latency, private inference on local hardware
- No recurring fees for data traffic or GPU rental
- Full integration with alarm and access control systems
Success Cases
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