Charging bay monitoring
Overhead cameras monitor vehicle occupancy and conditions in the charging area. View bay status and event history in the monitoring dashboard.
On-site AI
guarding charging bays
Overhead cameras and on-site edge AI watch charging bays
and alert managers to abnormal conditions right away.
Progress through partnership
Gyeongbuk CCEI
EV CHARGING STATION MONITORING
Bay monitoring and
incident response
Overhead cameras, on-site edge devices
and monitoring SaaS in one connected solution.
1 overhead cameraper 3 charging bays1 edge device per cabinet1 underbody sensor per bay
In development
Incident alerts
Alert managers to abnormal conditions, including suspected fire. Location and on-site information help them assess the situation and decide how to respond.
On-site response integration
The cabinet-mounted edge device supports charging station power shutdown and integration with fire protection systems. Monitoring and control are configured for each site.
Vehicle localization
Underbody thermal monitoring
We are developing AI-based vehicle localization and monitoring of temperature changes beneath vehicles, bringing spatial and thermal information together across charging bays.
FIELD APPLICATION
Daegu Veterans Hospital
On-site deployment
On-site validation and a cooperation agreement
support the next steps in deployment.
ON-SITE VALIDATIONOn-site installation
On-site installation
and operational evaluation
Overhead monitoring equipment and edge devices were installed across three charging bays at Daegu Veterans Hospital for on-site application.
- Location
- EV charging area, Daegu Veterans Hospital
- Scope
- Overhead camera monitoring and on-site control equipment
- Cooperation
- Testbed access, performance validation and data collection
Dec 1, 2025 · MOU signedWorking together for
Working together for
safer EV charging
Daegu Veterans Hospital and Sangsang Tech signed an MOU for safer and more efficient EV charging station operations. The site serves as a testbed for technology validation, refinement and performance evaluation.
TEST REPORTS
Test reports
- Issued by
- DYETEC Institute
- Report number
- T25-1058
Vehicle recognition, alerts & fire detection
- License plate recognition≥95%Single vehicle and up to 3 vehicles simultaneously
- Manager alert deliveryWithin 5 sec0% missed alerts
- Fire & similar-pattern detection≥90%Detection accuracy for fire and similar patterns in imagery
- Issued by
- DYETEC Institute
- Report number
- T25-1351
Data transmission efficiency
- Data transmission reduction93.45%Event-based image transfer compared with live video streaming
Let's see if it fits
your charging bays
Tell us the type of facility, how many chargers you have and what you'd like to know, and we'll review how EV-ALTO could apply.