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تحليلات فيديو المواقف — أمن وإشغال بالذكاء الاصطناعي

Make existing parking cameras do more: vehicle detection, license plate recognition, loitering and illegal-parking alerts, plus level-occupancy counting that feeds guidance signs and apps.

ما يراقبه الذكاء الاصطناعي

التعرف على لوحات المركبات

Reads plates at gates and lanes for access control, whitelist/blacklist matching and entry logs.

كشف المركبات

Detects and tracks vehicles in lanes and lots, distinguishing cars, trucks and motorcycles.

تنبيهات الوقوف غير القانوني

Flags vehicles stopped in fire lanes, disabled bays or no-standing zones with snapshot evidence.

كشف التسكع

Alerts on people loitering between cars or in stairwells — a key anti-theft and personal-safety trigger.

عد الإشغال

Per-level and per-zone occupancy from existing cameras, exportable via API to signage and apps.

معالجة محلية

Plate data and video stay on-site — privacy-friendly and cloud-fee-free.

الأسئلة الشائعة

Does license plate recognition need special cameras?

Existing cameras with a clear view of plates at entry/exit lanes usually work; camera height and angle guidelines are provided during commissioning.

Can occupancy data feed our parking guidance system?

Yes. Occupancy and LPR events are exposed via API/MQTT so signage, apps and barrier systems can consume them in real time.

تحليلات فيديو وأمن بالذكاء الاصطناعي للمواقف

ADHOOPU parking video analytics adds license plate recognition, vehicle detection, loitering detection and occupancy counting to existing car-park cameras — on-premise edge AI with API output for signage and barriers.

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