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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
Tourist Site Foot Traffic, Industrial Park Safety
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
- Smart switching between positioning 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
Scenarios & Products
Pain Points & Challenges
Tracking systems cost a lot, need constant charging, and split indoor/outdoor in two — security teams drown in upkeep.
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
- Location data flows into your existing security platform
Pain Points & Challenges
When something happens, you can't find who's where or get the alert out — channels are scattered, and security learns too late.
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
- Alerts hit the duty-room screen and phones in seconds
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
FAQ
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