Technology
Engineering
Student Safety.
A deep look at the computer vision, hardware, and software systems that power BusGuard's real-time detection capabilities.
95.3%True Positive Rate
<200msAlert Latency
IP67Weatherproof
100 dBOnboard Buzzer
Core Intelligence
Computer Vision
Our proprietary CNN is trained specifically on stop-arm violation scenarios , accounting for bus geometry, arm extension angles, vehicle trajectories, and lighting variation. 95.3% true positive rate across 211 field trials.
95.3% accuracyCustom datasetDay & nightMulti-angle
Live Detection Feed
Stop ArmEXTENDED
VehicleDETECTED
Confidence98.2%
ActionALERT TRIGGERED▌
Audit Trail
Incident Logging
Every detected violation is timestamped and stored with full metadata , GPS coordinates, image capture, vehicle speed estimate, and route ID , creating a legally defensible audit trail for district reporting.
GPS timestampsImage captureFleet dashboardExport-ready
Incident Log
Today3 violations
This Week12 violations
Last Export2 h ago
Storage256 GB onboard▌
Specifications
Under the hood.
Detection Model
Custom CNN, proprietary datasetTrue Positive Rate
95.3% (211 trials)False Positive Rate
< 2%Alert Latency
< 200 msOperating Temp
−20°C to 60°CEnclosure
IP67 weatherproofPower
12 V bus electricalStorage
256 GB onboard (expandable)Connectivity
4G LTE + WiFi syncCamera
1080p wide-angle, WDR