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UrbanVision

UrbanVision

From €72,000.00Sale Price
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UrbanVision: Multimodal AI Computer Vision & Cooperative Intelligent Transport (C-ITS) Platform for Smart Cities


Executive Overview

UrbanVision is a multimodal computer vision and cooperative intelligent transport system (C-ITS) platform that automates urban safety, traffic flow optimisation and real-time infrastructure intelligence. It connects optical sensors to neural analytics to reduce congestion, speed up public transit and secure infrastructure across smart cities and industrial facilities. Signals adapt to live vehicle queues, connected vehicles exchange data with the road, objects and anomalies are tracked even in noisy scenes, and every video stream is cryptographically verified so it can serve as legal evidence. Validated with a verified 25% decrease in intersection collision rates.


Neural & Technological Stack

  • Adaptive traffic and Smart Crossroad: dynamic signal phase regulation from real-time vehicle queues, automated emergency-vehicle and transit priority, traffic management centre (CODD) dispatch integration

  • Cooperative ITS (C-ITS / V2X): V2V and V2I data exchange over Wi-Fi and LPWAN, feeding onboard ADAS

  • Facial recognition and anti-spoofing: face detection under 6 ms per frame, feature extraction under 80 ms, vector matching under 0.005 ms, with defence against paper photos, screens, masks and DeepFakes

  • Anomaly and object tracking: low-contrast target identification in noise using sequential hypothesis testing (CUSUM, Shiryaev-Roberts); position error below 0.05 px

  • Autonomous vehicle vision: real-time pothole, lane, sign and pedestrian detection; depth mapping from optical and thermal stereo pairs

  • Tamper-proof video (PAK SRSO): neurocryptographic signing, RTSP transport and a blockchain integrity log

  • Modular smart traffic light: Slide Frame rails, plug-and-play sensor hot-swapping, LED dynamic displays and a laser projection module for bad weather

  • Integrated eco-monitoring: noise, ambient air quality and road-weather sensors (RWIS)

  • Stack: Python, C++, Linux, PostgreSQL, Redis, MongoDB, Docker, Kubernetes; REST API, SDK, RTSP, CAN bus, SCADA/MES protocols


Target Industry Verticals

Traffic management centres, municipal transport and infrastructure departments, smart city master operators, road design and construction institutes, autonomous transit and logistics operators, urban and interurban public transport, and industrial manufacturing enterprises.


Deep-Dive Reference

Explore the full architectural whitepaper and engineering case studies in My Projects: https://www.loranjacobs.com/my-projects/eye-vision

For the smart intersection edition, see UrbanWatch: https://www.loranjacobs.com/my-projects/eye-urbanwatch


Deployment & Licensing Matrix

  • Delivery model: On-Premises (distributed edge-to-cloud architecture installed in the customer's infrastructure by our engineers; zero remote data leakage after deployment)

  • Licence: annual licence with annual product releases; scope and SLA are configured to deployment size

  • Tiers: Business Ultra, Enterprise Ultra, Enterprise Ultima, Infrastructure (Infrastructure covers AI systems that manage critical information infrastructures); final scope and price per tier are confirmed after site survey

  • Reference edge hardware: Slide Frame smart traffic light with plug-and-play camera, acoustic, Wi-Fi, laser and eco-sensor modules

  • Integration: REST API, SDK, RTSP streaming, CAN bus, industrial IoT SCADA/MES protocols, traffic management centre dispatch

  • Maturity: TRL 9 (proven in operation; successfully deployed in industry)

  • Annual support and updates: typically 10–15% of deployment value per year


All prices exclude sales tax.

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