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YOLOv11 · CCTV AI · Edge Vision

Computer Vision Systems, Custom YOLO Models, CCTV AI & OCR Engineering

Real-time YOLOv8/v11/v26 object detection, RTSP CCTV + POS theft prevention, ANPR license plate recognition, industrial QC, Jetson Edge AI, and Arabic/English OCR.

Executive Architecture Summary:
Dynawix engineers production Computer Vision pipelines using custom-trained YOLO (v8/v11/v26), PyTorch, OpenCV, ByteTrack, and TensorRT/ONNX—powering real-time RTSP CCTV analytics, POS cashier fraud detection, ANPR license plate recognition, factory QC, and document OCR with tailored fixed-sprint scoping.

Key Engineering Deliverables

  • Retail & POS Loss Prevention AI: syncs live overhead RTSP cameras with POS transactions to flag unscanned items & cash-drawer anomalies
  • High-accuracy Arabic, GCC, EU & US Automatic Number Plate Recognition (ANPR/ALPR) & vehicle flow tracking
  • Automated Factory Defect Inspection, PPE safety compliance monitoring, and sports player/ball court tracking
  • Sub-20ms Edge & On-Premise inference via ONNX, NVIDIA TensorRT, DeepStream & Jetson Orin—100% air-gapped NDA privacy ready

Delivery Tracks & Sprint Structure

Delivery Track Architecture Scope Sprint Velocity
01 · Rapid Launch 100/100 Core Web Vitals, custom UI, SEO/AIO schema & direct WhatsApp/CRM conversion. 1 – 2 Weeks
02 · Full Production Bilingual UX, API/payment gateways, automation workflows & server-side tracking. 2–8 Weeks
03 · Enterprise / Global High-concurrency cloud infrastructure, custom AI/Quant engines & dedicated SLA. Milestone Sprints
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Frequently Asked Questions

Can your Computer Vision models run on-premise without sending sensitive camera feeds to the cloud?

Yes. We export quantized TensorRT and ONNX pipelines that run locally on NVIDIA GPUs or Jetson Orin edge boxes inside your facility with zero external video upload.

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