Sensagrate offers SensaVision, an AI‑powered computer‑vision platform that turns existing camera, LiDAR, radar or edge‑sensor feeds into real‑time traffic and behavior analytics. The solution provides near‑miss detection, pedestrian movement tracking, CO₂ monitoring and API‑driven data export across cloud, edge, software‑only and portable deployments, enabling municipalities, traffic engineers and autonomous‑vehicle providers to optimize signal timing, improve safety and reduce emissions.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Urban traffic systems lack real-time, high‑resolution data on vehicle, pedestrian, and vulnerable road user movements, making it difficult to optimize signal timing, reduce congestion, and prevent accidents. Existing monitoring solutions often require extensive infrastructure upgrades or proprietary hardware, limiting scalability and timely decision‑making for cities and transportation providers.
Solution
Sensagrate’s SensaVision platform delivers computer‑vision AI that processes data from existing cameras, LiDAR, radar, or edge sensors to generate real‑time traffic and behavior analytics. The solution suite includes cloud‑based (Stream), on‑premise edge (Edge), software‑only (Software), and portable solar‑powered (Mobile) deployments, allowing flexible integration with current infrastructure. Processed data are exposed via APIs and a web analytics dashboard, enabling traffic engineers, city planners, and autonomous‑vehicle systems to adjust signal phases, plan safer road designs, and support vehicle‑to‑infrastructure communication. By providing near‑miss detection with 95 % accuracy and continuous CO₂ emission monitoring, SensaVision helps reduce congestion, lower emissions, and improve safety for pedestrians and cyclists.
Target Audience
Primary customers are municipal transportation departments, traffic engineering firms, and autonomous‑vehicle technology providers seeking real‑time traffic analytics and safety insights.
Features
- AI-powered computer vision that fuses camera, LiDAR, and radar inputs and is sensor‑agnostic
- Real‑time detection of near‑miss collisions, pedestrian movements, and traffic flow with 95 % accuracy
- Multiple deployment options: cloud‑based Stream, edge device Edge, software‑only integration, and portable solar‑powered Mobile units
- API and JSON data export for seamless integration with traffic management systems, autonomous vehicle platforms, and C‑V2X communications
- Web application with analytics, reporting, and customizable dashboards for traffic engineers and planners
- Support for infrastructure‑to‑vehicle communication and adaptive signal control to optimize traffic timing