Get a production-ready computer vision system — object detection, face recognition, or image segmentation — built with open-source models, clean source code, and delivered by a London-based AI engineering team.
I Will Build a Custom AI Vision System with Object Detection or Face Recognition
A working AI vision model with source code — ideal for proof of concept.
- Research into the optimal open-source model for your use case
- Data preprocessing pipeline
- Model creation (object detection, face recognition, segmentation, or classification)
- Full source code included
- Supports YOLO, CNN, face detection, and segmentation tasks
- Delivered via order manager
A validated and fine-tuned model with documentation — ready for integration.
- Everything in Starter
- Model fine-tuning for improved accuracy on your data
- Model validation and testing with results
- Written model documentation
- 1 revision included
- Suitable for handover to a development team
Full-stack AI system with API, cloud deployment, and performance monitoring.
- Everything in Standard
- REST API design and integration for model serving
- Cloud deployment and package deployment
- Performance monitoring setup
- 2 revisions included
- End-to-end system ready for production use
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Full Description
If your project needs a reliable, accurate computer vision system, you are in the right place. Whether you need to detect objects in real time, recognise faces from a video feed, segment images for analysis, or classify visual data at scale — this service delivers a fully working AI system built to your specific requirements, not a generic template.
Zinn Digital's London-based AI engineering team has delivered projects spanning face recognition for vehicle access control, real-time traffic sign and traffic light detection, emotion recognition systems, driver condition monitoring via facial expression analysis, and face detection through surveillance infrastructure. Every project is approached with the same rigour: understand the requirement, build the right model, validate it works, and hand over clean, documented code.
**What is included across all tiers:**
Research into the best open-source model architecture for your use case, data preprocessing, model creation using Python-based frameworks (TensorFlow, Keras, OpenCV, PyTorch-compatible pipelines, Scikit-learn, Pandas, Matplotlib), and full source code delivery. The team works across Jupyter Notebook, Google Colab, Spyder IDE, and Anaconda environments.
**Service capabilities include:**
— YOLO-based object detection (standard and custom object classes)
— Face detection and face recognition systems
— Image segmentation
— Regression and classification models
— Convolutional neural networks (CNNs)
— Emotion and facial expression recognition
— Real-time detection pipelines
— REST API design and model serving
— Cloud deployment and package deployment
**Who is this for?**
Startup founders needing an AI proof of concept, developers who want a working model they can integrate into their own application, businesses exploring computer vision for security or automation, and researchers who need a validated model with documentation.
**How it works:**
After placing your order, share your project brief via the order chat. The team reviews your requirements, selects the most appropriate architecture, builds and (depending on tier) validates, fine-tunes, documents, and deploys your system. Demonstrations are available upon request.
Please reach out via the order chat before placing your order if you have a complex or unusual requirement — the team is happy to confirm scope and feasibility first.
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Compare Packages
| Feature | Starter | Standard | Premium |
|---|---|---|---|
| Delivery Time | 1 days | 3 days | 5 days |
| Revisions | 0 | 1 | 2 |
| Research into the optimal open-source model for your use case | ✓ | ✕ | ✕ |
| Data preprocessing pipeline | ✓ | ✕ | ✕ |
| Model creation (object detection, face recognition, segmentation, or classification) | ✓ | ✕ | ✕ |
| Full source code included | ✓ | ✕ | ✕ |
| Supports YOLO, CNN, face detection, and segmentation tasks | ✓ | ✕ | ✕ |
| Delivered via order manager | ✓ | ✕ | ✕ |
| Everything in Starter | ✕ | ✓ | ✕ |
| Model fine-tuning for improved accuracy on your data | ✕ | ✓ | ✕ |
| Model validation and testing with results | ✕ | ✓ | ✕ |
| Written model documentation | ✕ | ✓ | ✕ |
| 1 revision included | ✕ | ✓ | ✕ |
| Suitable for handover to a development team | ✕ | ✓ | ✕ |
| Everything in Standard | ✕ | ✕ | ✓ |
| REST API design and integration for model serving | ✕ | ✕ | ✓ |
| Cloud deployment and package deployment | ✕ | ✕ | ✓ |
| Performance monitoring setup | ✕ | ✕ | ✓ |
| 2 revisions included | ✕ | ✕ | ✓ |
| End-to-end system ready for production use | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build a Custom AI Vision System with Object Detection or Face Recognition
Build a Custom AI Vision System with Object Detection or Face Recognition
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Frequently Asked Questions
Yes. The team has experience building custom object detectors for novel classes. You will need to provide labelled training data or discuss data collection as part of your brief. Please contact us before ordering to confirm feasibility.
A clear description of what you want the system to detect, recognise, or classify; any existing dataset or images you have; the environment it will run in (local machine, server, cloud); and any performance requirements. The more context you share, the better the outcome.
A revision covers adjustments to the model or code based on feedback about the delivered output — for example, improving accuracy, adjusting preprocessing, or modifying the API response format. Revisions do not cover entirely new requirements added after delivery.
Yes. All tiers include full source code. You are free to extend, modify, or integrate it into your own projects after delivery.
The team builds in Python using TensorFlow, Keras, OpenCV, Scikit-learn, Pandas, and Matplotlib, working across Jupyter Notebook, Google Colab, Spyder IDE, and Anaconda environments. YOLO-based architectures are used for real-time detection tasks.
Yes. REST API design and model serving is included in the Premium tier. It can also be discussed as a bespoke scope item — please contact the team before ordering if you need this as a standalone requirement.
Demonstrations of relevant prior work are available upon request. Please get in touch via the order chat to arrange this before placing your order.
Customer Reviews
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Very smooth at communicating and responds quickly, very respectful and did the job very well.
Neil did an excellent job. He understands complex requirements quickly, communicates clearly, and delivers exactly what was agreed — often better. The quality of his work, especially around AI, camera integration and edge/cloud development, is outstanding. Reliable, professional, and easy to work with. I’ll definitely continue working with him. Highly recommended!
a trustworthy and great guy
Excellent service, highly recommend working with them.
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