Koca Ventures Ltd
71-75 Shelton Street
Covent Garden, London
WC2H 9JQ, United Kingdom
Registered in England & Wales — 16231043
Koca Ventures provides innovative software, AI, and fractional CTO/CFO services.
Koca Ventures Ltd
71-75 Shelton Street
Covent Garden, London
WC2H 9JQ, United Kingdom
Registered in England & Wales — 16231043
A commercial property management company was struggling with high false positive rates and delayed incident response from their legacy CCTV system. We built an edge AI surveillance platform that achieved 99.2% detection accuracy, with every stage of inference running on-premise on NVIDIA Jetson.
Project Vanguard deploys computer vision models directly on edge devices, turning a passive CCTV network into an active detection layer that flags events as they happen.
The platform combines real-time object detection, behavioral analysis, and intelligent alerting to provide security teams with actionable insights - not just endless streams of footage to review.
Conventional surveillance systems were struggling to keep up with modern security demands, creating critical gaps in protection.
Traditional CCTV systems generated thousands of false alerts daily, causing alarm fatigue and missed genuine threats.
Manual review of footage meant threats were often identified hours or days after incidents occurred.
Adding new cameras required proportional increases in security personnel for monitoring.
We designed a comprehensive AI-powered platform that addresses each limitation while adding powerful new capabilities.
Custom-trained deep learning models identify people, vehicles, and objects with exceptional accuracy, filtering out environmental noise like shadows and animals.
Advanced algorithms detect suspicious behaviors such as loitering, perimeter breaches, and unusual movement patterns before incidents escalate.
Intelligent notification system prioritizes alerts based on threat severity, reducing operator workload while ensuring critical events never go unnoticed.
Processing happens directly on NVIDIA Jetson devices at the camera level, keeping the detection path local and bandwidth requirements low.
Accuracy is compared against the legacy system at the deployed site; the latency figure is the design spec the pipeline is engineered and load-tested against.
Share of genuine incidents correctly identified, validated against the security team's review logs.
Maximum streams ingested and processed per site on NVIDIA Jetson edge nodes.
Design spec from triggering frame to dispatched alert — the pipeline is load-tested against this budget.
Built with industry-leading technologies optimized for edge AI performance.
Purpose-built hardware configurations for reliable, high-performance edge AI processing.
Primary edge processing unit for complex analytics
Cost-effective deployment for standard installations
Compatible with existing camera infrastructure
Model training and dashboard hosting
Let's discuss how we can modernize your surveillance infrastructure with AI-powered threat detection — on your premises, on your hardware.