Telraam provides AI-powered traffic counters capable of monitoring pedestrians, cyclists, cars, and heavy vehicles using both indoor and outdoor hardware. The system delivers detailed traffic data through an intuitive dashboard and an open API for integration into existing platforms. This allows users to accurately quantify and analyze multimodal transport flows in their areas of interest.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional traffic counting relies on expensive, fixed infrastructure or manual surveys, which limits coverage, hampers multimodal analysis, and raises privacy concerns. Consequently, cities, transport agencies, and community groups lack affordable, continuous data on pedestrians, cyclists, cars, and heavy vehicles needed for evidence‑based mobility planning.
Solution
Telraam offers purpose‑built, AI‑powered traffic counters that can be installed on a window—indoor or outdoor—without wiring or Wi‑Fi. An edge‑computing AI chip classifies up to ten transport modes in real time while discarding raw images, ensuring privacy‑friendly operation. Aggregated counts are transmitted via LTE‑M/NB‑IoT to a cloud platform where users access 15‑minute resolution data through an intuitive dashboard or an open API. Flexible subscription tiers (free, premium, network) unlock advanced analytics, speed histograms, and raw data exports, enabling both citizen scientists and professional mobility planners to monitor, analyze, and act on multimodal traffic flows.
Target Audience
Primary users are citizens, community groups, NGOs, and local authorities seeking affordable traffic monitoring, as well as transport agencies, urban planners, and mobility consultants requiring reliable multimodal data for planning and analysis.
Features
- Edge AI (K210) chip performs on‑device object detection and classification, eliminating the need to store or transmit video.
- Supports ten traffic categories (pedestrians, strollers, bicycles, motorcycles, cars, light trucks, trucks, buses, trailers, tractors) with 90‑95% daytime accuracy.
- Built‑in LTE‑M/NB‑IoT connectivity and SIM card provide autonomous, low‑power (<1.5 W) operation without Wi‑Fi.
- Plug‑and‑play installation: mount on a window, connect USB‑C, scan QR code, and the device becomes live within 15 minutes.
- Over‑the‑air (OTA) firmware updates keep AI models and system software current.
- Privacy‑by‑design: only anonymized 15‑minute aggregate counts are sent; no images or videos are stored.
- Dashboard and open API deliver real‑time traffic visualizations, 15‑minute resolution data, speed distribution, and exportable CSV/Excel reports.
- Recyclable paper packaging and a compact form factor (65 × 99 × 30 mm, 96 g) for easy deployment.