I will build face recognition, object detect, attendance system in deep learning,opencv

N
nsucce
N
nsucce
Bimh
build face recognition, object detect, attendance system in deep learning,opencv
Full Screen
build face recognition, object detect, attendance system in deep learning,opencv

About this gig

Automate your access tracking with secure biometric validation. I will build a premium face recognition and attendance logging system utilizing deep learning and OpenCV. Say goodbye to manual check-ins and proxy attendance with smart, automated biometric identity management.


Using state of the art embedding models like FaceNet, InsightFace, or Dlib, I develop systems that map facial structures into unique mathematical signatures, enabling instant matching against a database of registered profiles. The system operates quickly, verifying identities in fractions of a second.


What I deliver: a complete user face registration pipeline, high-speed multi-face detection in live camera streams, automated database logging (MySQL, SQLite, or Excel/CSV), and foundational liveness detection to block print/photo spoofing attempts. Streamline your workflow operations with a professional solution. Contact me today to secure your custom attendance build!

  • Application Type

    • Desktop Application

  • Desktop Frameworks

    • Electron
    • Qt
    • GTK
    • Windows Presentation Foundation (WPF)
    • .NET MAUI
    • Tauri
    • JavaFX
    • React Native for Web
    • Avalonia
    • PyQt
    • Kivy
    • WinForms
    • GTKSharp
    • Tkinter
    • wxWidgets
    • Uno Platform
    • Flutter for Desktop
    • Ultimate++
    • Neutralino.js
    • NW.js

  • AI Type

    • Chat
    • Shopping
    • Delivery
    • Booking
    • Restaurant
    • Health & Fitness
    • Education
    • Social Networking
    • Entertainment
    • Dating
    • Maps & Navigation
    • Finance
    • Medical
    • Taxi
    • Travel
    • Lifestyle
    • Streaming
    • Music
    • News
    • Productivity Tools
    • E-commerce
    • Custom
    • Kids
    • IoT
    • Real Estate
    • AR
    • Trading
    • Gaming
    • VPN
    • Wallet App

  • Programming Language

    • C
    • C++
    • JavaScript
    • Python
    • TypeScript
    • PyTorch

  • Web Frameworks

    • React
    • Angular
    • Vue.js
    • Svelte
    • Backbone.js
    • Express.js (Node.js)
    • Django
    • Flask
    • Ruby on Rails
    • Spring Boot
    • ASP.NET
    • Laravel
    • Next.js
    • Nuxt.js
    • Meteor
    • Blazor

  • No & Low-Code Builders

    • Bubble
    • FlutterFlow
    • Base44

Get to know Bimh

Bimh

AI systems, YOLO, OpenCV, Deep Learning, Machine Learning, Object Detection

  • FromDenmark
  • Member sinceMay 2026

  • Languages

    English
I build advanced AI systems using YOLO, OpenCV, Deep Learning, and Machine Learning technologies. My services include object detection, facial recognition, image segmentation, medical imaging, pose estimation, lane detection, skeleton tracking, and real-time AI applications. I specialize in custom dataset training, image annotation, AI deployment, and Python-based computer vision solutions. I help businesses, startups, and researchers create scalable AI-powered software with accurate detection and optimized model performance.

Related tags