We build custom computer vision systems that help South African enterprises automate visual inspection, strengthen safety compliance, and unlock insights from image and video data — delivering measurable ROI from day one.
Computer vision is a branch of artificial intelligence that enables machines to interpret and make decisions based on visual data — photographs, video feeds, satellite imagery, and scanned documents. It combines deep learning algorithms with image processing techniques to extract meaningful information from pixels at a speed and scale that no human team can match.
At AnyVision Media, we design and deploy production-grade computer vision systems tailored to the unique operational challenges facing South African industries. From the platinum belt to the Cape Winelands, our solutions process thousands of images per second, detect anomalies in real time, and feed actionable data directly into your existing business workflows.
Whether you need to catch hairline cracks on a production line, count livestock across a 5 000-hectare farm, or verify PPE compliance in a shaft, our Johannesburg-based team builds the model, integrates the cameras, and monitors performance so you can focus on running your business.
Every industry has unique visual data challenges. We build bespoke computer vision systems that address the specific operational, safety, and compliance requirements of South African enterprises.
South Africa's mining sector demands zero-compromise safety. Our computer vision systems detect missing PPE, monitor exclusion zones, identify unstable ground conditions from drone imagery, and track personnel in underground environments — helping mines comply with the Mine Health and Safety Act and reduce incident rates by up to 60%.
Automated visual inspection catches defects that human inspectors miss. We deploy high-speed line-scan camera systems paired with custom-trained deep learning models that inspect welds, surface finishes, packaging seals, and component tolerances — delivering an 85% reduction in QA inspection time while increasing defect catch rates.
Turn your existing CCTV cameras into business intelligence tools. Our retail computer vision solutions provide accurate footfall counting, heatmap analysis, queue length monitoring, shelf stock-out detection, and demographic insights — empowering South African retailers from Sandton City to the V&A Waterfront to optimise store layouts and staffing in real time.
Precision agriculture powered by aerial and satellite imagery. Our computer vision models analyse drone footage and multispectral satellite data to detect early signs of crop disease, measure plant health indices (NDVI), estimate yield, and map irrigation stress — enabling South African farmers in Limpopo, the Free State, and the Western Cape to intervene weeks before problems become visible to the naked eye.
Intelligent video surveillance that goes far beyond recording. Our systems perform real-time licence plate recognition (LPR), perimeter intrusion detection, loitering alerts, and facial verification for access control — all POPIA-compliant and designed for South African estate, corporate campus, and logistics yard environments where reliable identification is non-negotiable.
Automate loading-bay verification, cargo damage assessment, and driver fatigue detection. Our computer vision solutions integrate with existing fleet management platforms to give South African logistics operators real-time visual proof of delivery, automated container counting, and vehicle condition reports — reducing disputes and insurance claims across national corridors.
From single-frame image analysis to multi-camera video streams, our models handle the full spectrum of visual intelligence tasks.
Identify and locate multiple objects within images and video frames in real time. Our models draw bounding boxes around every item of interest — from defective components on a conveyor belt to vehicles entering a restricted zone — with sub-50ms latency on edge devices.
Automatically sort and categorise images into predefined classes with over 99% accuracy. Use cases range from grading produce quality on a packhouse line to classifying satellite tiles by land-use type for agricultural planning across South African provinces.
Analyse continuous video streams for event detection, object tracking, and behaviour recognition. Our video analytics engines count people, track movement patterns, detect anomalies, and trigger automated alerts — processing feeds from multiple cameras simultaneously.
Train models to learn what "normal" looks like, then flag anything that deviates — scratches, dents, discolouration, missing parts, or unusual behaviour. Our anomaly detection systems work in scenarios where labelled defect data is scarce, using semi-supervised and self-supervised learning approaches.
Our computer vision deployments deliver measurable business outcomes. Here is a snapshot of what our clients have achieved.
We built a custom computer vision inspection system for a South African manufacturer that reduced quality assurance inspection time by 85%, while simultaneously catching defects that human inspectors consistently missed. The system paid for itself within the first quarter of deployment.
We use proven, scalable tools and frameworks to ensure your computer vision solution is performant, maintainable, and future-proof.
Computer vision is one part of our full AI consulting offering. Explore how our other services can complement your visual intelligence project.
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Learn moreBook a free 30-minute strategy call with our computer vision team. We will discuss your use case, assess feasibility, and outline a clear path to deployment — no obligations, no sales pressure.
Or email us directly at hello@anyvision.media