
Connecting Cameras to Edge AI for Resident Safety
Stream video from cameras to a local AI box for illegal intrusion and property damage detection.
Three core capabilities of campus safety: indoor-outdoor positioning, instant silent SOS alerts, and edge AI video security.
Legacy positioning systems suffer from high hardware costs, short battery life requiring frequent recharging, and fragmented indoor/outdoor silos, making seamless cross-domain personnel tracking difficult.
Deploy long-battery-life fusion tracking tags combining GNSS, indoor BLE beacons, and Wi-Fi sniffing, backed by long-range wireless gateways to bridge indoor/outdoor blind spots and reduce operational upkeep.
Core Advantages
During sudden campus emergencies, fragmented reporting channels and lack of real-time coordinate tracking delay security response, missing critical intervention windows.
Personnel carry smart safety badges; double-pressing a physical button transmits an instant, silent alarm with live coordinates over a dedicated long-range network to the central command dashboard.
Core Advantages
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.
Edge AI models analyze video streams for behavior recognition, detecting intrusions, loitering, falls, or fires in milliseconds and automatically triggering security system integrations.
Core Advantages
Deploy BLE beacons indoors, LoRaWAN gateways for backhaul, and edge AI compute in the control room.
Not sure which to choose? View Full Selection Guide →
What do you need to track?
Select tracking target, coverage area, tracker quantity and indoor zones to get a recommended device list; for AI video analytics, see [AI Video Analytics Configurator](/solutions/scenarios/intelligent-video-analytics#bom-configurator).
T1000 personnel badge + LoRaWAN gateway; suitable for outdoor patrol, campus sports fields, facility inspection, and other outdoor positioning
| 硬件/物料名称 | 数量 | 型号/SKU | 说明 |
|---|---|---|---|
| SenseCAP T1000-A Tracker | trackers | 114993073 | - |
| SenseCAP M2 LoRaWAN Gateway (frequency band by deployment country) | max(1, ceil(trackers / 100)) | 114992981 | - |
T1000 personnel badge + BLE beacons + LoRaWAN gateway; suitable for hospitals, offices, teaching buildings, and other indoor zone positioning
| 硬件/物料名称 | 数量 | 型号/SKU | 说明 |
|---|---|---|---|
| SenseCAP T1000-A Tracker | trackers | 114993073 | - |
| SenseCAP BC03 BLE Beacon | max(3, ceil(indoor_area / 56)) | 100085893 | - |
| SenseCAP M2 LoRaWAN Gateway (frequency band by deployment country) | max(1, ceil(trackers / 100)) | 114992981 | - |
T1000 personnel badge + BLE beacons + LoRaWAN gateway; suitable for continuous positioning across buildings, campus, and outdoor areas
| 硬件/物料名称 | 数量 | 型号/SKU | 说明 |
|---|---|---|---|
| SenseCAP T1000-A Tracker | trackers | 114993073 | - |
| SenseCAP BC03 BLE Beacon | max(3, ceil(indoor_area / 56)) | 100085893 | - |
| SenseCAP M2 LoRaWAN Gateway (frequency band by deployment country) | max(1, ceil(trackers / 100)) | 114992981 | - |
T2000 asset tracker + LoRaWAN gateway; suitable for fleet vehicles, construction vehicles, and outdoor asset positioning
| 硬件/物料名称 | 数量 | 型号/SKU | 说明 |
|---|---|---|---|
| SenseCAP T2000-A Asset Tracker | trackers | 100082900 | - |
| SenseCAP M2 LoRaWAN Gateway (frequency band by deployment country) | max(1, ceil(trackers / 100)) | 114992981 | - |
T2000 asset tracker + BLE beacons + LoRaWAN gateway; suitable for underground parking, warehouses, campus roads, and other mixed zones
| 硬件/物料名称 | 数量 | 型号/SKU | 说明 |
|---|---|---|---|
| SenseCAP T2000-A Asset Tracker | trackers | 100082900 | - |
| SenseCAP BC03 BLE Beacon | max(3, ceil(indoor_area / 56)) | 100085893 | - |
| SenseCAP M2 LoRaWAN Gateway (frequency band by deployment country) | max(1, ceil(trackers / 100)) | 114992981 | - |
Staff wear T1000 card trackers receiving BLE beacon signals indoors and GNSS outdoors; data streams via LoRaWAN gateways to control rooms while video is analyzed locally.
Core Advantages
| Image | Product | Core Positioning | Deployment & Role |
|---|---|---|---|
| SenseCAP BC03 BLE Beacon | Bluetooth Location Beacon | Dense grid deployment in hallways, stairs & rooms as indoor location anchors | |
![]() | SenseCAP M2 Indoor Gateway | Indoor LoRaWAN Gateway | Ceiling or equipment-room mount per floor, aggregating badge alerts via Ethernet/Wi-Fi/4G |
BC03 beacons install indoors without wiring; paired with SenseCAP M2 gateways for long-range wireless backhaul.
Core Advantages
| Image | Product | Core Positioning | Positioning | IP Rating |
|---|---|---|---|---|
| SenseCAP T1000 Card Tracker | Card Tracker | GPS + Wi-Fi + BLE Indoor/Outdoor | IP67 |
T1000-A tracker badge for staff with blind-operable SOS button; built-in accelerometer, BLE, and GNSS modules.
Core Advantages
| Image | Product | Core Positioning | AI Performance (INT8) | Video Channels |
|---|---|---|---|---|
![]() | reCamera Smart Camera | All-in-One AI Camera | 1 TOPS | 1 ch internal |
![]() | reComputer J30 Series Edge Host | Edge Mid-Compute Box | 20–40 TOPS | 4–8 ch |
![]() | reComputer J40 Series Edge Host | Edge High-Compute Box | 40–100 TOPS | 8–16 ch |
![]() | reComputer R22 Industrial Edge Host | Industrial Edge AI IPC | 26 TOPS (Hailo-8) | 4–8 ch |
Deployed in the control room; analyzes 4–16 RTSP video streams concurrently with direct relay alarms.
Core Advantages
The solution is restrained on privacy: badges report only zone-level location and double-press SOS events — no audio, no filming. Data stays on the campus's own network, kept entirely on the school's or company's platform with no third-party cloud involved. Pair rollout with a clear informed-notice process: a safety device that acts only in emergencies.
The two event types differ. Double-press SOS alarms are human-triggered, so false alarms are not inherent. AI video detection (e.g. weapon or intrusion recognition) analyzes locally in real time, with false positives controlled via detection zones, confidence thresholds, and review workflows. Models keep tuning on on-site samples, so false alarms decline over time; early on, keep human review and feed false positives back as labeled data.
The solution provides complete API interfaces: positioning, alarms, and AI events can all be pushed via standard interfaces to your existing security platform or dispatch system, linking door control, broadcast, and screens. No rip-and-replace — it adds a personnel-positioning + active-alarm layer on top of your current security stack.
The cost structure is clear and easy to estimate: personnel badges per headcount; indoor Bluetooth beacons per room/zone that needs positioning (battery-powered, wiring-free, low install cost); LoRaWAN gateways with kilometer coverage — one or two per campus; plus platform-integration services. Finer positioning granularity means more beacons, and key areas can be phased in first.
Yes. The Seeed devices used in this solution can be customized with your own logo, enclosure, packaging and pre-loaded firmware, and existing models can be adapted to add or drop interfaces and features. See Customization Service for scope and process, or .