ممارسة في الذكاء الاصطناعي الصناعي  ·  الخليج  ·  بالعربية والإنجليزية رد خلال يوم عمل واحد
Video analytics

A Gulf industrial-zone operator

Logistics / Industrial Zones · Gulf

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Too much arrives to check it all, so you sample

المشكلة

Operations teams needed actionable monitoring from the Al-Wakra Logistics Park video streams. The cameras were already recording, but nothing in the footage was searchable - establishing what had happened meant a person watching it. Events were therefore found after the fact if they were found at all, and the practical value of the whole camera estate was capped by however many review hours the team could spare.

ما بنيناه

We delivered a centralised computer-vision service that analysed operational footage, detected the defined events, and fed the results into review and response workflows.

ما تغيّر

المقياس قبل بعد
Detection accuracy on the defined operational events لا قياس سابق 89% under representative conditions
Time to locate a specific event in the footage ~15 minutes under 30 seconds
Camera hours under continuous analysis لا قياس سابق 100%, previously bounded by review capacity

Time to locate a specific event in the footage

قبل ~15 minutes بعد under 30 seconds

الأرقام من سجلات التنفيذ الخاصة بالممارسة للمشروع المذكور، مقيسةً مقابل العملية التي سبقته.

ما توقّف عليه

Separating recognition, OCR, localisation, and contextual enrichment made quality measurable component by component, so the weakest part could be improved without replacing the whole solution, and low-confidence detections were kept for validation rather than counted as confirmed events. Relevant to any operator holding large volumes of camera footage nobody has time to watch.

خط الخدمة
Inspection & Safety Vision AI

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