AI Computer Vision & Object Detection Platform

NeuroCV delivers production-grade computer vision capabilities, from object detection and image classification to semantic segmentation and visual anomaly detection. Built on proven deep learning architectures and optimised for real-world deployment, NeuroCV turns raw imagery into actionable data. It is the visual intelligence engine within the NeuroStack platform, complementing text-based AI products like NeuroRAG and NeuroIntelligence with the ability to understand and analyse visual information.

Object Detection and Classification

NeuroCV’s detection models identify and classify objects in images and video streams with high precision. Whether you need to count vehicles in traffic footage, identify defects on a production line, or detect specific land features in satellite imagery, our models are trained and fine-tuned for your exact use case. The system supports both real-time video stream analysis and batch processing of image archives, adapting to your operational requirements.

Geospatial and Mapping

For the LIMAP project, NeuroCV processes aerial and satellite imagery to extract geographic features, detect site deterioration patterns including cracks, erosion, and staining, and automatically map detected damage onto AutoCAD drawings. The system handles large-scale image datasets efficiently, processing thousands of tiles with consistent accuracy across varying lighting conditions, seasons, and image quality. This capability serves architecture and real estate professionals who need automated visual assessment at scale.

Custom Model Training

Every business has unique visual recognition needs. Neural AI trains custom NeuroCV models on your labelled data, fine-tuning pre-trained architectures to achieve high accuracy with relatively small training sets. Our active learning pipeline identifies the most informative samples for labelling, minimising annotation effort while maximising model performance. NeuroIntelligence assists in the analysis pipeline by adding reasoning capabilities on top of visual detection results.

Edge and Cloud Deployment

NeuroCV models deploy wherever your data lives — on cloud GPU instances for batch processing, on edge devices for real-time inference, or as API endpoints for application integration. We optimise models for your target hardware, balancing accuracy and inference speed to meet your performance requirements. For applications requiring visual content generation rather than analysis, NeuroImageGen provides complementary generative capabilities. Combined with NeuroDocument for document-specific visual processing, NeuroCV enables comprehensive visual AI workflows across your organisation.