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$
USD
I will build a computer vision app for object detection and counting
Mohsin R
About this gig
Need to count objects automatically instead of doing it by hand? I build computer vision apps that detect and count objects in real time, from inventory items and products on a production line to people, vehicles, and livestock.
I have built and deployed a working object counting computer vision system for a real business use case, combining Flutter mobile app development with AI based detection using YOLO and OpenCV. I understand both the AI model and how to turn it into a simple, user friendly application.
What I can build for you:
- Object detection and counting (single or multiple object types)
- Real time counting using a live camera feed
- Image and video based counting
- Custom AI model training on your own dataset (Premium)
- Dashboard with live counts and history
- Firebase cloud storage integration
- Cross platform Android and iOS apps using Flutter
Common use cases:
- Warehouse and inventory counting
- Retail shelf and product counting
- Manufacturing line item counting
- Livestock and agriculture counting
- People and vehicle counting
Get to know Mohsin R
Mohsin R
Mobile App Developer
- FromPakistan
- Member sinceAug 2020
- Avg. response time1 hour
Languages
Urdu, English
Flutter developer with real-world experience building production apps — including a computer vision app for automated object counting, an invoice management system, and a land ownership/partnership tracking platform. I combine mobile development with backend (Firebase/SQLite) and, when needed, computer vision/AI integration
FAQ
Will this work with any object?
Most objects can be detected, but accuracy depends on the object type, size, lighting, and background. Message me your use case before ordering so I can give you a realistic accuracy estimate.
Do I need to provide training data
Not for Basic/Standard (I use pre-trained models). For Premium custom training, yes — the more sample images/videos you provide, the more accurate the model.
Can this run offline / on-device
Yes, using TensorFlow Lite for on-device inference — let's discuss your specific needs
