IntelliVision provides an AI‑driven analytics platform that runs directly on smart cameras and edge devices, delivering real‑time video and audio detection of humans, vehicles, faces, license plates, pets, and audio events.
Funding
$6M 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
Deploying video and audio analytics at scale requires powerful AI processing, but many cameras and edge devices lack built‑in intelligence, leading to reliance on costly central servers or manual monitoring. This limits real‑time detection of security threats, traffic events, and access‑control incidents in smart city, transportation, and IoT deployments.
Solution
IntelliVision offers an AI‑driven analytics platform that runs directly on smart cameras and edge devices, providing real‑time video and audio analysis without the need for external processing infrastructure. The software leverages deep‑learning models to detect and classify humans, vehicles, pets, faces, license plates, and audio events, generating metadata and alerts instantly. It supports integration as an SDK for OEMs, system integrators, and automotive tier‑1 suppliers, enabling embedded intelligence in smart home, smart building, smart city, and ADAS applications. Processed data can be streamed to on‑premise servers or cloud services for storage, visualization, and further action, allowing automated decision‑making and reduced bandwidth usage.
Target Audience
Primary customers are camera OEMs, large system integrators, and automotive tier‑1 suppliers developing smart city, security, smart home, and advanced driver‑assistance solutions.
Features
- Deep‑learning models for human, vehicle, pet detection, facial recognition, and ANPR/ALPR with high accuracy
- Audio event classification for security and environmental monitoring
- Edge‑optimized SDK for seamless embedding in cameras, IoT devices, and automotive systems
- Real‑time metadata extraction and alert generation for immediate response
- Compatibility with on‑premise, cloud, and video‑cloud architectures for flexible deployment
- Support for driver monitoring, lane‑departure, and distracted‑driver alerts in ADAS and telematics
- Scalable licensing covering over 5 million deployed cameras and 1.5 million automotive units