CUSTOM AI DEVELOPMENT · COMPUTER VISION
AI-POWERED COMPUTER VISION SOLUTIONS
Turn images and video into reliable decisions, from the team whose computer vision runs in production today.
We build bespoke computer vision for classification, segmentation, object recognition and real-time tracking. Our models already power foot measurement from a single photo and visual search in Prime AI’s own products, and we apply the same engine to retail, medical imaging and inspection problems.
In production: foot measurement from a single photo
In production: visual search for similar products
Proprietary convolutional networks for classification and segmentation
THE PROBLEM
WHERE VISUAL WORK STILL DEPENDS ON PEOPLE
Many decisions still rely on someone looking at an image or a screen. That is slow, costly and hard to keep consistent.
MANUAL INSPECTION
Reviewing images, shelves or scans by eye does not scale and varies between people.
UNSTRUCTURED IMAGES
Product and inspection images hold useful attributes that never make it into your data.
LOSS AND FRAUD
Activity at self-checkouts and in stores is hard to monitor in real time.
GENERIC MODELS
Off-the-shelf vision APIs are not trained on your products, defects or images.
WHAT WE BUILD
COMPUTER VISION ACROSS RETAIL AND MEDICAL
Examples of the computer vision we build, from production retail tools to medical image analysis.
FOOT MEASUREMENT FROM IMAGES
Pose estimation and depth analysis extract foot dimensions from 2D images and map them to shoe size specifications.
VISUAL SEARCH & PRODUCT TAGGING
Feature extraction and similarity mapping let customers find matching products by image, while deep learning classifies fabric, patterns, colours and styles for better categorisation.
CHECKOUT & SHELF MONITORING
Object detection and action recognition to identify suspicious activity at self-checkouts, and real-time detection of low-stock items on shelves.
MEDICAL IMAGE ANALYSIS
Convolutional networks for early detection and segmentation, including malignant mesothelioma and mucus goblet cells in histopathological images.
Have an image or video problem in mind? Tell us about it.
OUR ENGINE
THE ENGINE BEHIND OUR VISION PRODUCTS
We do not resell a general-purpose platform. Three in-house technologies do the heavy lifting, each matched to the task.
NEURAL NETWORKS
Small, agile networks for classification, surrogate development, forecasting and pattern recognition.
In computer vision: fast classifiers and pattern recognition on extracted visual features.
IMAGE PROCESSING
Larger convolutional networks for image classification, image segmentation and background removal.
In computer vision: classification, segmentation, object recognition and tracking.
GENETIC ALGORITHMS
Hybrid evolutionary optimisation using multiple cross-over, mutation and evolution techniques.
In computer vision: optimising model and pipeline settings for accuracy and speed.
Our computer vision runs in production in Prime AI’s Localizador de Tamanho de Sapato (foot measurement from a single photo) and Pesquisa Visual. Custom projects are built by the same team on the same engine.
HOW WE WORK
FROM FIRST CALL TO PRODUCTION
01
FREE CONSULTATION
Explain your challenge, or just explore how AI could streamline and enhance your current business practices. No commitment.
02
DISCOVERY & SCOPING
We review your data, systems and success criteria, then propose an approach, timeline and budget range.
03
PROOF OF CONCEPT
A focused prototype on your own data, so you can judge accuracy and value before scaling.
04
PRODUCTION & MLOps
Deployment to cloud, on-premise or edge, with monitoring, retraining and ongoing support.
Perguntas Frequentes
COMPUTER VISION FAQ
Image classification, segmentation, object recognition and real-time tracking. Examples include foot measurement from photos, visual search, product attribute tagging, self-checkout and shelf monitoring, and medical image analysis.
Yes. Foot measurement from a single photo and visual search for similar products both run in Prime AI’s own products today.
Yes. Models are trained on your own images and labels so they recognise your products, defects or conditions rather than generic categories. We review your data during scoping.
Yes. We deploy models across cloud, on-premise or edge environments, with CI/CD, version control, monitoring, drift detection and automated retraining to keep them accurate over time.
Every project is scoped individually, based on the problem, the data available and the accuracy and integration required. We usually start with a focused proof of concept on your own data, and you get an approach, timeline and budget range before any commitment.
You explain your challenge, or simply explore how AI could streamline and enhance your current business practices. We’ll tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like. There’s no commitment.
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TELL US WHAT YOU NEED TO SEE
Book a free consultation. We will tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like.