Smart Traffic IoT Development Projects

Smart Road Image-Based Speed Detection System

Image recognition interface of the Smart Road Image-Based Speed Detection System
Development screen of the Smart Road Image-Based Speed Detection System
Development screen of the Smart Road Image-Based Speed Detection System

Project 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 Details

Client / Site
XX Traffic Data Survey Company
Project Period
2019
Category
# Smart Transportation
Sensing Technology
Image Recognition Processing

Smart Road Image-Based Speed Detection System: technology-based enforcement that protects road users and keeps on-duty police officers safe.

Film Actual
Traffic Flow
Build Distance
Mapping Model
Track Vehicle
Displacement
Compute Exact
Vehicle Speed
Image Capture (Camera)
Image Correction & Recognition (Computer)
Algorithm (Computer)

Bringing IoT to traffic monitoring: historical data and event alerts give traffic planning a stronger basis, making roads safer and management more efficient.