
AI Camera Solution for Vehicle Speed Monitoring in Factories
The AI Camera solution enables businesses to automatically monitor vehicle speeds inside factories in real time. The system uses AI-powered IP cameras to calculate vehicle speed between two monitoring points, automatically detect vehicles exceeding the speed limit, capture vehicle and license plate images, and instantly send alerts to the control center, helping reduce accident risks and improve operational safety.
CUSTOMER OVERVIEW
The customer is a manufacturing enterprise with a high volume of forklifts, internal trucks, and material transport vehicles operating continuously between raw material warehouses, production areas, and loading/unloading zones.
Due to the high traffic density within the facility, the company enforces a maximum speed limit of 10 km/h on internal roads to ensure employee safety and reduce the risk of collisions. However, speed monitoring relied mainly on traffic signs and manual inspections, making it difficult to ensure that all vehicles consistently complied with the regulations.
The company sought a solution capable of automatically monitoring vehicle speed in real time, instantly detecting violations, and maintaining comprehensive records to support workplace safety management.
SOLUTION – EYEFIRE SAFETY
To address vehicle speed management within the factory, the company deployed EyeFire's AI-powered IP Camera system to automatically monitor vehicle speed and detect violations in real time.
The solution uses two AI IP cameras installed at both ends of the monitored roadway. AI automatically records the time each vehicle passes each camera, calculates the vehicle's travel speed, and compares it with the predefined speed limit. When a vehicle exceeds the configured speed limit (10 km/h), the system immediately records the event, captures images of the vehicle and its license plate, and sends an instant alert to the management center for prompt action.
SOLUTION HIGHLIGHTS
- AI-powered Automatic Speed Monitoring: The system combines AI with IP cameras to automatically calculate vehicle speed along designated road segments without requiring dedicated speed measurement equipment.
- Real-time Overspeed Detection: As soon as a vehicle exceeds the configured speed limit (10 km/h), AI automatically detects the violation and immediately sends an alert to the management center for rapid response.
- Complete Violation Evidence Recording: Each incident is stored along with vehicle images, license plate images, and the time of the violation, making it easy for businesses to retrieve and cross-reference information when needed.
- Centralized Management via VMS: All violation data is stored in the Video Management System (VMS), enabling centralized monitoring, statistical analysis, historical search, and long-term safety management.
SOLUTION ARCHITECTURE

HOW IT WORKS
AI cameras capture vehicles traveling along the monitored roadway.
Data is transmitted through the local network to the AI Hub.
The AI Engine automatically calculates vehicle speed.
Vehicle speed is compared against the configured speed limit.
If a violation is detected, the system captures images of the vehicle and its license plate.
A real-time alert is sent to the management center.
All event data is stored in the VMS for future search and reporting.
OUTCOMES
monitoring of vehicle speed on internal factory roads.
of violation events are recorded with vehicle images and license plate information for easy retrieval.
reduction in the time required to inspect and process speeding violations.
KEY OUTCOMES
- Automates vehicle speed monitoring.
- Reduces reliance on manual supervision.
- Minimizes accident risks at intersections and internal roadways.
- Enhances safety for both pedestrians and vehicles within the factory.
- Provides visual data to evaluate compliance with internal traffic regulations.
- Enables rapid retrieval of violation records during incident investigations.
- Improves safety management efficiency and promotes a stronger culture of compliance throughout the organization.


















