I will build face recognition staff attendance system using your existing cctv cameras

United Kingdom

I speak Spanish, Dutch, French

Video Analytics and Surveillance Engineer

I specialise in building production-grade video analytics systems that transform standard CCTV infrastructure into intelligent, data-driven platforms. I work primarily with YOLOv8/v11, DeepSORT, OpenC...
About this Gig

Eliminate manual clock-ins, buddy punching, and attendance disputes with a contactless AI system that knows your staff.


Manual attendance tracking is slow, error-prone, and easy to game. I build production-grade recognition attendance systems that automatically log staff check-ins and check-outs the moment they appear on camera no swipe cards, no PINs, no hardware upgrades needed.


What you will receive

  • Face detection and recognition pipeline using Deep / Insight / FaceNet
  • Staff enrolment module register from photos or live camera feed
  • Automatic check-in / check-out logging with timestamps
  • Late arrival and early departure flagging
  • Daily and monthly attendance reports (PDF and CSV)
  • Admin dashboard to view logs, manage staff, and export data
  • Optional HR system integration (REST API output)
  • Full source code, deployment guide, and onboarding documentation


Why choose this gig

  • Works with standard IP cameras no specialist hardware required
  • Handles real-world conditions: glasses, masks, varying lighting, partial occlusion
  • Supports teams of 10 to 500+ staff members
  • GDPR-aware architecture face embeddings stored locally, no third-party cloud APIs


APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Image processing

Software development

Programming language:

Python

R

MATLAB

SQL

Java

Tools:

Jupyter Notebook

OpenCV

TensorFlow

MLflow

SimpleCV

CVAT

Frameworks:

Scikit-learn

DeepPy

SimpleCV

Keras

PyTorch