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Darkfield is a production-grade AI vision platform from LINOX. It is not positioned as a general-purpose video surveillance system, but as a way to turn a company’s existing CCTV cameras into sensors for operations, compliance, safety, and quality control. Users provide camera feeds, which the platform connects to via a local gateway and AI vision-box. It identifies people, objects, states, and events in the footage, then notifies relevant staff via SMS, email, voice call, or webhook.
Its main selling points include automatic training, contextual awareness, and a Vision AI layer. The website says no manual labeling is required, and that models can be trained automatically based on real on-site footage. It supports spatial and temporal reasoning across cameras and shifts. Its VLM can read clips like a human, understand SOPs, and call connected APIs to filter out noise. Typical use cases include waste reduction, PPE compliance, SOP audits, production-line bottleneck attribution, end-of-line quality inspection, safety incidents, security, footfall analysis, front-of-house analytics, and object counting. The outputs are practical: real-time alerts, short evidence clips, PASS/FAIL audit forms, weekly reports, and CSV data.
The public price is £200/camera/year, compared against traditional systems costing £40k–£150k with 6–12 weeks of integration. Darkfield claims it can deliver the first alerts within 48 hours, with onboarding typically taking 4–6 weeks. It also offers a two-week risk-free guarantee: if the agreed accuracy is not achieved, there is no charge. Deployment defaults to edge inference, with raw video staying inside the firewall; only events, anonymized detections, and short evidence clips are sent to the cloud. Full-cloud RTSP ingest and air-gapped options are also available.
The advantages are that it can reuse existing cameras, has a low installation barrier, offers alert channels that fit frontline management workflows, has a relatively complete data privacy design, and supports open-vocabulary tasks rather than being limited to fixed categories. The drawbacks are that it is still in UK private beta and UK only, while SOC 2 is still in progress. The website does not disclose accuracy, recall, false-positive rates, or third-party evaluations. Complex sites may still require camera adjustments or new hardware installation.
It is better suited for pilot projects in UK-based manufacturing, food, warehousing, automotive workshops, front-of-house, retail, and safety compliance scenarios. Information on access from China, payment, and local delivery has not been disclosed, and the service is clearly aimed at the UK market, so deployment for domestic Chinese companies is uncertain. Local visual inspection/security AI vendors or self-built edge vision solutions may be considered as alternatives.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on linox.co.uk official site.
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