TraffMind AI offers an advanced video analytics platform that converts any video feed into actionable intelligence for applications such as traffic analysis, urban planning, retail analytics, and drone tracking. Its JAMAR AI Portal provides professional traffic studies with accurate volume counts, turning movement detection, and vehicle classification from any video source, while the GridSearch tool links multiple IP cameras to detect objects across a network for security, retail, and industrial monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that rely on video surveillance lack automated tools to extract quantitative insights such as traffic volumes, vehicle classifications, turning movements, or cross‑camera object detection, resulting in manual analysis, delayed decision‑making, and limited operational efficiency.
Solution
TraffMind AI provides a cloud‑based video analytics platform that converts any video feed into structured intelligence. The JAMAR AI Portal lets users configure traffic studies and receive accurate volume counts, turning‑movement statistics, and vehicle‑type classifications directly from any video source. GridSearch links multiple IP cameras and applies custom detection models to identify target objects across the network, delivering real‑time alerts and enterprise‑grade security monitoring. Results are compiled into professional reports that can be integrated into existing workflows. The platform operates continuously with high accuracy and supports use cases in transportation, public safety, retail, industrial monitoring, drone tracking, and life‑science research. Users access all tools through a web interface, requiring only video streams as input.
Target Audience
Primary customers include transportation agencies and city planners, public‑safety and smart‑city departments, security firms, retail operators, industrial facilities, drone operators, and life‑science research organizations that need automated video‑derived analytics.
Features
- Supports any video source, including CCTV, drone footage, and existing camera infrastructure
- High‑accuracy traffic volume counting, turning‑movement analysis, and vehicle classification
- Professional reporting templates for easy export and stakeholder communication
- Multi‑camera detection network that synchronizes IP cameras for cross‑view object identification
- Custom detection models that can be tailored to specific objects or events
- Real‑time alerting for security incidents, traffic anomalies, or equipment failures
- 24/7 cloud processing with scalable compute resources
- Enterprise security features, including encrypted data transmission and role‑based access control