Project Development Overview

In the 'Smart Image-Based Speed Monitoring System' customized by YenProtek to meet the client's needs, image recognition technology serves as the core of the entire system. This system is designed based on motion detection and image tracking technologies. In terms of image processing, the system's operational principle involves utilizing the corresponding relationship between captured video frames and actual distances to establish a calculation model. By locating the vehicle's movement coordinates on the time axis, the calculation is converted back to actual distances to obtain a time-distance relationship curve, which is used to calculate the vehicle's true speed.

  • Compared to other current speed detection equipment, its construction and maintenance costs are much lower.
  • It helps clients collect diverse traffic data remotely and simultaneously, such as traffic flow imagery, vehicle types, lanes, vehicle speeds, lane occupancy rates, etc., without being limited by distance, weather, or manpower anymore.
  • High accuracy; simultaneous multi-lane observation is less prone to judgment errors.
  • High system flexibility and scalability; detection ranges and judgment rules can be adjusted at any time according to the situation.

Project Development Information

  • Client/Site: ○○ Traffic Data Survey Company
  • Project Duration: 2019
  • Category: # Smart Traffic
  • Sensor Technology: Image recognition processing

Applying IoT networks to traffic monitoring—historical data logs and active event alerts provide reliable empirical references for transit planning, building safer roads and highly efficient administrative management.

Smart Image-Based Speed Monitoring System - Technology-Driven Law Enforcement Protects Road Users and the Safety of Police Officers on Duty