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Advanced Fire Protection for Electric Vehicles in Commercial Parking Facilities
View productEV Hawkeye Lite EH-03 Thermal Fire Detection Camera
AI-powered early smoke and fire detection for electric vehicles.
The EV Hawkeye Lite EH-03 thermal fire detection camera is an advanced thermal fire detection camera designed for the early detection of smoke, heat, and fire. By combining thermal imaging with video analysis and AI, the system provides continuous monitoring of large areas where lithium-ion batteries and electric vehicles may pose an increased fire risk.
€ 3.388,00 including taxDetect smoke and fire before an incident escalates further
Electric vehicles are increasingly being charged and parked in parking garages, commercial buildings, and other locations where multiple vehicles are parked close together.
When an incident occurs, Early detection is essential. The sooner an unusual situation is detected, the faster people, security organizations, or connected systems can respond.
The EV Hawkeye was developed to continuously monitor EV charging stations. The system combines AI with high-resolution imaging technology to detect smoke and fire at an early stage.
The footage is continuously analyzed. When the system detects a potentially dangerous situation, it can be alerted immediately, thereby saving valuable time for further intervention.
In addition to real-time monitoring, EV Hawkeye provides clear data and insightful reports. As a result, the system not only supports the immediate detection of incidents but also the systematic monitoring of safety at EV locations.
MOST IMPORTANT BENEFITS
AI-powered detection
EV Hawkeye combines artificial intelligence and image analysis to detect potential smoke and fire in electric vehicles at an early stage.
Continuous real-time monitoring
The system continuously monitors the surroundings, allowing EV parking spaces and charging stations to be constantly monitored for potential incidents.
Rapid Alert System
When potential smoke or fire is detected, the system enables rapid alerting so that action can be taken sooner.
Data and Reports
In addition to real-time monitoring, EV Hawkeye provides insightful data and reports that allow users to clearly track events and the safety situation.
Technical specifications
EV Hawkeye was developed as an intelligent detection and monitoring system for locations where electric vehicles are present.
The system uses High-resolution imaging technology combined with artificial intelligence. The surrounding area is continuously monitored, and the imagery is analyzed to detect possible signs of smoke and fire.
EV Hawkeye thus provides an additional layer of detection alongside traditional fire safety measures.
If an anomaly is detected, the system can quickly trigger an alert so that appropriate follow-up measures can be taken.
In addition, data can be used for monitoring and reporting, giving administrators greater insight into events within the monitored environment.
Specifications
- Product: EV Hawkeye
- Type: AI-powered smoke and fire detection system
- Application: Electric vehicles
- Detection: Smoke and Fire
- Technology: Artificial Intelligence (AI)
- Imaging Technology: High Resolution
- Monitoring: Continuous and in real time
- Analysis: Automated Image Analysis
- Alert: Immediately upon detection of a risk
- Reporting: Available
- Data Insight: Available
- Use: EV charging, parking, and storage locations
- Goal: Early detection and faster intervention
HOW DOES IT WORK?
Monitor. Detect. Alert.
The EV Hawkeye continuously monitors the area where electric vehicles are parked, charged, or stored.
Visual information from the monitored area is collected using high-resolution imaging technology.
Artificial intelligence continuously analyzes these images and helps identify patterns that may indicate smoke or a fire.
When the system detects a potentially dangerous situation, an alarm is triggered so that administrators, security personnel, or other relevant parties can respond more quickly.
EV Hawkeye is therefore the early detection layer as part of a broader EV fire safety strategy. The system is designed to detect an incident as early as possible so that appropriate response measures can then be taken.
APPLICATIONS
Continuous Monitoring for Locations with Electric Vehicles
The EV Hawkeye is suitable for locations where electric vehicles are loaded, parked, or stored and where early detection of smoke and fire is desired.
Particularly at locations where multiple vehicles are parked close together or inside a building, rapid detection can be crucial to limiting further escalation and potential damage to surrounding vehicles and infrastructure.
The final configuration and positioning of EV Hawkeye can be tailored to the location, the number of vehicles, and the desired security strategy.
Possible applications include:
- EV Charging Stations
- Parking Garages
- Underground parking garages
- Company Parking Spaces
- Apartment complexes
- EV charging stations
- Fleet Locations
- Car Dealers
- Showrooms
- EV Repair Shops
- Logistics Locations
- Commercial Properties
- Locations with multiple EV charging stations
- Buildings where electric vehicles are parked indoors
EV Hawkeye is the detection layer as part of a broader approach to EV fire safety.
Prevention remains the first step: safe electrical installations, proper use of charging equipment, and effective management of vehicles and charging locations help reduce the risk of incidents.
If a problem does arise, then early detection essential. EV Hawkeye continuously monitors the surroundings and uses AI and imaging technology to detect potential smoke and fire as early as possible.
Detection is followed by an alarm, so that the necessary response can be determined quickly.
EV Hawkeye could thus be part of a layered security strategy in which prevention, detection, alerting, response, and containment complement each other.
In this way, EV Hawkeye contributes to an environment in which a potential EV incident is not only detected once a fire has already fully developed, but one in which efforts are focused on Early detection and prompt follow-up.
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