I will build ai cctv weapon, fall and threat detection systems

Pakistan

I speak Urdu, English

1 order completed

Building efficient, accurate, and intelligent AI models

Hi, I'm Abdul Hameed AI/ML Engineer with 4+ years in Deep Learning, NLP & Computer Vision. I build: facial emotion & expression analysis from video, face recognition (ArcFace), speech-to-text pipelin...
About this Gig

I build custom AI CCTV detection and real-time video analytics systems using Computer Vision and YOLO.

Detection solutions:

  • Weapon detection (guns and knives)
  • Fall detection and safety monitoring
  • Violence and aggressive behavior detection
  • Object detection, tracking and counting
  • Intrusion and restricted-zone detection

Inputs: Images, recorded videos, and compatible CCTV/IP camera streams.

Deliverables (package-dependent):

  • YOLO / Computer Vision detection model
  • Bounding boxes and confidence scores
  • Python source code and setup guide
  • Testing and optimization
  • Alerts, event logs, dashboard or API integration when included in your package

Tech stack: Python, YOLO, PyTorch, OpenCV, TensorRT and FastAPI.

I test solutions against available footage. Accuracy and FPS depend on data quality, lighting, camera angle, resolution and hardware; results cannot be guaranteed for every environment.

Before ordering: Message me with your required detections, sample footage/dataset, camera type and target hardware. Ill confirm the scope and help you choose the right package.

APIs:

Microsoft Computer Vision AI

Expertise:

Image processing

•

Feature learning

•

Classification

Programming language:

Python

•

MATLAB

•

SQL

•

Java

•

MLflow

Frameworks:

Scikit-learn

•

DeepPy

•

Google ML Kit

•

Keras

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PyTorch

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