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About VIOLA

VIOLA Operational Flow

VIOLA is an AI-powered traffic enforcement platform designed to transform how traffic violations are detected, verified, and enforced across modern road networks. By combining Computer Vision, AI, and Automatic Number Plate Recognition (ANPR), VIOLA enables real-time detection of traffic violations, automated vehicle identification, and digital evidence generation at scale.

Unlike traditional enforcement systems that rely solely on fixed CCTV infrastructure or manual monitoring, VIOLA extends intelligent traffic surveillance to both CCTV-covered and non-CCTV zones through its two operational solutions: VIOLA CCTV and VIOLA Dashcam. Together, these systems provide continuous roadway monitoring, helping traffic authorities improve enforcement coverage, accelerate e-Challan generation, and enhance overall road safety.

By processing video feeds from CCTV networks and POLICE PATROL VEHICLES DASHCAM , VIOLA's advanced computer vision models detect critical violations, such as No Helmet, Triple Riding, Mobile Phone Usage, Wrong Side Driving, and No Seatbelt , etc.

Once identified, the platform compiles high-fidelity digital evidence (including license plates and vehicle crops) and transmits it directly to law enforcement systems through an integrated API of Traffic Police Department. This seamless handshake with the traffic police department's backend enables automated, zero-human-intervention e-Challan generation at scale.

Currently deployed in live operational environments, VIOLA supports law enforcement agencies with scalable, data-driven traffic intelligence that enables faster decision-making, improved compliance monitoring, and more efficient traffic management.

Active Deployed Solution

VIOLA DASHCAM

“AI-Powered Dashcam-Based Traffic Violation Detection & Enforcement System”

VIOLA Dashcam is an intelligent mobile traffic enforcement solution that transforms police patrol vehicles into AI-powered monitoring units. Using AI and computer vision, the system processes dashcam feeds to identify and record traffic violations.

The platform automatically detects violations such as No helmet violation, triple riding, seatbelt violations, mobile phone usage while driving, wrong-side driving, and other traffic offences while generating evidence-backed violation records.

Currently deployed in collaboration with Hyderabad Traffic Police and the Government of Telangana, VIOLA Dashcam operates through multiple patrol vehicles across Hyderabad, enabling continuous roadway surveillance without the need for fixed infrastructure. The solution supports automated license plate recognition, centralized analytics, and digital challan workflows, helping law enforcement agencies improve coverage, efficiency, and response times.

VIOLA DASHCAM

Active AI stream processing dashcam video feeds to automatically identify helmet violations, triple riding, and non-HSRP license plates.

Key AI Capabilities

Violations Detection using Dashcam
Helmet violation detection
Triple riding detection
HSRP & Non-HSRP plate detection
Multi-violation monitoring
Automatic Number Plate Recognition
Automated evidence generation
AI inference
Smart analytics dashboard
Wrong Side Driving Detection

Deployment Highlights

  • GPU accelerated inference
  • Cloud-integrated analytics
  • Scalable deployment architecture
  • Centralized monitoring system
  • e-Challan Generation
  • API Integration with Traffic Management Center
  • GPS Location tracking

Technical Stack

Python OpenCV YOLO TensorRT FastAPI/FLASK React CUDA OCR
Active Deployed Solution

VIOLA CCTV

“AI-Powered CCTV-Based Traffic Violation Detection & Enforcement System”

VIOLA CCTV is an AI-powered roadway surveillance solution designed for continuous monitoring of highways, expressways, and critical traffic corridors. The system leverages advanced computer vision models and AI-assisted analytics to detect traffic violations and identify potentially dangerous road incidents via Already installed CCTV cameras.

The platform is specifically optimized for detecting wrong-side driving, one of the leading causes of severe highway accidents. In addition, it identifies multiple traffic violations including No helmet Violation , triple riding, seatbelt violations, mobile phone usage while driving, and other unsafe driving behaviors.

Currently deployed in collaboration with the Traffic Police and GMR at the Kurcharam Junction, Telangana, VIOLA CCTV provides continuous monitoring of a high-risk highway segment. The system enables authorities to proactively identify violations, generate evidence-backed records, and improve roadway safety.

VIOLA CCTV

Continuous CCTV camera stream demonstrating automated wrong-side driving detection and multi-lane flow analysis.

Key AI Capabilities

Wrong-side vehicle detection
Direction flow analysis
No Helmet Violation detection
Triple Riding detection
Seatbelt Violation detection
Mobile Phone Usage while driving detection
Multi-lane monitoring
Overspeeding detection

Deployment Highlights

  • Highway-scale deployment
  • Low-latency inference
  • Continuous monitoring pipeline
  • eChallan generation
  • Cloud-integrated analytics
  • Scalable deployment architecture
  • GPS Location tracking

Technical Stack

Python YOLO OpenCV DeepSORT TensorRT CUDA FastAPI/Flask
400+
hours of Videos
processed
6,000+
violations
detected
4,000+
Challans
generated
95%
violations detection
accuracy

VIOLA Analytics

The analytics/charts show the trends in the violations occurring in Indian traffic scenarios, providing actionable insights for enforcement.

Violation Breakdown

Percentage Distribution of Detected Traffic Violations

VIOLA
No Helmet
45.4%
Wrong Side (2W/3W)
29.7%
Wrong Side (4W)
20.6%
Triple Riding
1.6%

Analysis & Insights

The graph shows the trend of the violations occurring that are detected by the VIOLA system, represented by their relative percentage share.

Hourly Timing Distribution

Violation Frequency Across Time Intervals (VIOLA Dashcam and VIOLA CCTV)

Understanding Timings

It shows the trend of how many violations occur at what time during the 24-hour cycle across the monitored checkpoints.

Our AI Capabilities

Advanced AI and Computer Vision solutions designed for real-world traffic monitoring, violation detection, and intelligent enforcement.

Violations Detection

Detect traffic violations with high accuracy using advanced AI models optimized for complex urban road environments.

Automated Challans

Enable end-to-end enforcement workflows, from violation detection and validation to challan generation and reporting.

Evidence Management

Securely manage violation evidence including images, videos, metadata, and audit trails for complete traceability.

Smart Analytics

Generate actionable insights through violation trends, hotspot analysis, vehicle movement patterns, and enforcement statistics.

API Integration

Seamlessly integrate with existing surveillance infrastructure, eChallan systems, traffic management platforms, and city-wide monitoring networks.