Image Classification and Recognition
We build models that identify what is in an image and sort it by category with high accuracy.
Computer Vision Development Services
Computer Vision Development Services
Trusted across 20+ countries by Fortune 500 companies and growth-stage brands
We build computer vision systems that see, read and understand images and video, from object detection and visual inspection to OCR and video analytics. Trained on your visual data and deployed where you need them, in the cloud or at the edge. Over a decade of experience, 250+ digital solutions delivered.
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What is computer vision development?
Computer vision development is the building of AI systems that interpret visual data such as photos, video and scanned documents. It covers detecting and classifying objects, reading text from images, inspecting products for defects and analysing video in real time. Noseberry builds computer vision models trained on your data, tuned to your accuracy needs, and deployed to the cloud or to edge devices where low latency matters.
Key takeaways
- Computer vision turns images and video into structured, usable information.
- Core capabilities include detection, recognition, OCR, inspection and video analytics.
- Models can run in the cloud or on edge devices for real-time, on-site use.
- Accuracy depends on quality training data, which we help source and annotate.
2M+Lives touched
15+Fortune 500 clients
20+Countries served
250+Digital solutions delivered
What we build
Our computer vision development services
Object Detection and Tracking
We detect and track multiple objects across frames for counting, monitoring and safety use cases.
Optical Character Recognition (OCR)
We extract text from documents, forms and images to automate data entry and processing.
Visual Inspection and Quality Control
We build systems that spot defects on the line faster and more consistently than manual checks.
Video Analytics
We analyse live or recorded video for events, movement, occupancy and anomalies.
Facial and Biometric Analysis
We build recognition and verification systems with privacy and consent controls built in.
Edge Vision Deployment
We deploy optimised models to cameras and edge devices for low-latency, offline-capable use.
Where it delivers value
Where computer vision delivers value
Manufacturing
automated defect detection and quality control.
Retail
shelf monitoring, footfall and loss prevention.
Healthcare
medical image analysis to support diagnosis.
Real estate
automated property image tagging and condition checks.
Logistics
package scanning, counting and damage detection.
How we work
Our five-phase process
We validate accuracy on a sample of your real images in a proof of concept before scaling to production.
1
Discovery and Audit
We map your data, systems and goals to understand where you stand today.
2
Strategy and Roadmap
We prioritise use cases and hand you a costed, phased plan.
3
Rapid Proof of Concept
We validate accuracy on a sample of your real images before scaling.
4
Build and Integrate
We engineer and connect the solution into your production stack.
5
Deploy and Optimize
We ship to cloud or edge, monitor and tune for accuracy and latency.
The data behind accurate models
The data behind accurate vision models
Computer vision is only as good as its training data. We help you source, label and augment image and video datasets, and where you need high-quality labels at volume we connect this to our LLM Annotation and data services. Clean, well-labeled visual data is what separates a demo from a production-grade model.
Explore our annotation servicesTechnology we use
Frameworks
- PyTorch
- TensorFlow
- OpenCV
- YOLO
- Detectron2
Models
- Convolutional networks
- Vision transformers
- Multimodal models
Cloud & edge
- AWS SageMaker
- Azure AI
- Google Vertex AI
- NVIDIA edge runtimes
Data & MLOps
- Snowflake
- Databricks
- Docker
- Kubernetes
- MLflow
Security and compliance
Visual data, handled with strict controls
Visual data, especially biometric and medical images, is handled with strict controls, including encryption, consent management, role-based access and audit trails. We build to GDPR, HIPAA and SOC 2, deployed on AWS, Google Cloud and Azure.
GDPRHIPAASOC 2
Real success storiesPropTech · Real-estate marketplace FinTech · Digital Insurer E-Commerce · Retail leader
Outcomes we have driven
Challenge
Manual appraisal intake and image checks were slow and inconsistent.
Solution
Computer-vision tagging and condition checks that automate valuation intake across markets.
Impact
40% faster property valuations with higher consistency.
Challenge
Claims documents needed slow, error-prone manual data entry.
Solution
OCR and document-vision to extract and validate claims data automatically.
Impact
93% of fraud caught pre-payout, an estimated $4.2M saved annually.
Challenge
Shoppers struggled to find visually similar products.
Solution
Visual search and automated product image tagging on a governed data platform.
Impact
+28% lift in conversion rate.
Sector-anonymised outcomes shown until named clients are approved.
Why Noseberry
Why choose Noseberry for computer vision
Specialist
AI, Cloud and Data is our core, no generalist dilution.
Accuracy-focused
We invest in the data and evaluation that production vision needs.
Cloud and edge
We deploy where your use case needs it, including offline.
Proven at scale
15+ Fortune 500 clients, 250+ solutions across 20+ countries.
Computer vision, answered.
Detecting and classifying objects, reading text with OCR, inspecting products for defects, analysing video, and biometric verification, across manufacturing, retail, healthcare, logistics and more.
Yes. For real-time or offline use we deploy optimised models to edge devices and cameras for low latency.
It depends on the task. We assess your data during a proof of concept and can augment or annotate to reach the accuracy you need.
Accuracy depends on data quality and task complexity. We define a target with you and validate it on your real images before production.
Yes. We optimise models to run on edge hardware and integrate with your existing camera and device infrastructure.
Have a visual task to automate?
Book your free 30-minute AI strategy session and we will scope a computer vision proof of concept on your images.
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