Rahbin
AI / Computer Vision / Smart City
Advanced

Rahbin

Smart Urban Traffic Monitoring with Computer Vision

Rahbin

About & Project Mission

Rahbin is a computer vision-based smart urban traffic monitoring system that receives and analyzes visual data from municipal traffic cameras. Utilizing deep learning models such as CNN and YOLO, the system enables the detection and classification of elements within video feeds for urban traffic monitoring and analysis. Deployed in projects related to the Deputy of Transportation and Traffic of Isfahan Municipality, Rahbin is recognized as one of PayaHub's advanced products in artificial intelligence and computer vision.

Key Performance Indicators

+200
Connected Cameras
95%
CV Detection Accuracy
+10M
Daily Analyzed Frames

Specifications & Access

Advanced
Tech Domain & Expertise AI / Computer Vision / Smart City
Official Product Website rahbin.payahub.ir

Key Features & Value Propositions

01

Urban Camera Image Analysis

Capturing and processing traffic camera streams to extract actionable environmental and traffic insights

02

AI Object Detection & Classification

Utilizing computer vision and deep learning models to identify and classify objects and events in image streams

03

Smart Urban Traffic Monitoring

Utilizing visual data to monitor and evaluate urban traffic flow and density

04

City-Scale Visual Data Analytics

Converting camera video streams into structured analytics to support urban traffic management

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