TraffixPro

An end-to-end traffic management solution applicable for law enforcement, parking management, toll collection, and smart cities.

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Overview
Features

Across the world, traffic violations are one of the most common violations in everyday traffic management. Pushpak AI TraffixPro aims to improve traffic rules compliances where there are no traffic officials present by providing transport management officials with an AI solution to acquire vehicle information and detect traffic violations like red light jumping, stop-line crossing, helmet detection, etc. with the help of an easy to setup and integrate infrastructure that can be installed anywhere, anytime.

Dashboard

Data visualization on a single page for better efficiency.

Violation List

Maintain a comprehensive log of all captured violations, allowing for convenient filtering by violation type and time.

Violation Detail

Obtain detailed data and evidence of traffic violations committed by vehicles, facilitating easy issuance of fines or rejection.

Cameras

List of all operational cameras that can be activated or deactivated as needed.

Features

License Plate Recognition

Recognize license plates of various vehicles
Log of all Vehicles

Red light Violation Detection

Red light Violation Detection
Compatible with 3rd party databases like RTO, Vahan, etc.

Speed Violation detection

Detect speeding vehicles without a high speed camera
Compatible with 3rd party databases like RTO, Vahan, etc.

No Helmet

Detect no helmet violation
Compatible with 3rd party databases like RTO, Vahan, etc.

Triple Riding

Detect triple riding violation
Compatible with 3rd party databases like RTO, Vahan, etc.

Vehicle Counting & Classification

Counting of Vehicles
Classification of vehicles into Car, Bike, Bus, etc.

Vehicle Adaptive Presence

Detect presence and flow of vehicle traffic
Easy integration with ATCS

Smart Parking

Detects occupied and vacant parking spaces

Runs on Edge/cloud

Pushpak platform can operate on both edge and cloud environments, adapting to requirements. It empowers edge devices with localized decision-making and reduced latency, while capable of utilizing cloud computing resource to offer a flexible solution tailored to diverse needs.