Computer Vision
Object detection, image segmentation, and intelligent video analysis.
What We Deliver
Computer vision transforms cameras and image feeds from passive data sources into active intelligence systems. Inovex Systems builds computer vision solutions that see, understand, and act on visual data in real time, from manufacturing quality control and retail analytics to medical imaging and security surveillance. Our team brings deep expertise in the full computer vision stack: data labelling and annotation, model training with YOLO, EfficientDet, and Segment Anything, inference optimisation for edge and cloud deployment, and integration with downstream business systems. We have built production vision systems across industries where visual intelligence creates direct operational value, reducing defect rates, improving throughput, enabling automation, and generating insights from video data that no human team could extract at scale.
Key Benefits
- Automate visual inspection at speeds and accuracies humans cannot match
- Extract actionable intelligence from camera and video infrastructure you already own
- Reduce quality defects and operational losses with real-time visual monitoring
- Deploy vision AI on edge devices for low-latency, privacy-preserving applications
Key Offerings
Every capability we offer is designed to deliver real, measurable value to your business.
Object Detection & Tracking
Real-time detection, classification, and tracking of objects in images and video using state-of-the-art YOLO and transformer-based architectures.
Image Segmentation
Semantic, instance, and panoptic segmentation for precise object boundary detection in complex scenes, supporting medical, industrial, and autonomous applications.
Video Analysis
Automated video processing for event detection, activity recognition, crowd analytics, and anomaly identification in real-time or recorded footage.
Visual Quality Control
AI-powered visual inspection systems for manufacturing defect detection that operate at line speed with higher accuracy than human inspection.
Facial Recognition & Biometrics
Secure facial recognition, liveness detection, and identity verification systems for access control, authentication, and attendance management.
Edge Deployment
Optimised model deployment on edge devices, cameras, and embedded hardware, enabling real-time vision AI without cloud connectivity requirements.
Our Approach
A proven, transparent process that keeps you informed at every stage, no surprises, just results.
Discovery
Use-case scoping, camera infrastructure review, and dataset assessment.
Data
Data collection, labelling, and augmentation pipeline setup.
Train
Model training, validation, and iterative improvement.
Optimise
Model quantisation and optimisation for target deployment environment.
Integrate
Integration with downstream systems, dashboards, and alerting.
Monitor
Production monitoring, retraining triggers, and drift detection.
Industries We Serve
We've delivered computer vision solutions across a wide range of sectors and business models.
Healthcare & Clinics
Retail & E-commerce
Finance & FinTech
Education & EdTech
Manufacturing
Logistics & Supply Chain
Frequently Asked Questions
What kinds of problems can computer vision solve for my business?
Computer vision is most impactful for visual quality control in manufacturing, retail analytics from camera feeds, inventory and shelf monitoring, document digitisation, security surveillance, and any workflow where a human currently reviews images or video.
Do you deploy models on-premise or in the cloud?
Both. For real-time applications in manufacturing or retail we deploy optimised models on edge devices and cameras. For applications where latency is less critical, we deploy on cloud infrastructure. We design the architecture around your response time and connectivity requirements.
How accurate are your computer vision models?
Accuracy depends on the quality of training data and the complexity of the task. For well-defined industrial inspection tasks with good training data, we consistently achieve 98 percent or higher accuracy. We provide benchmark results from validation testing before production deployment.
What data do you need to train a computer vision model?
We typically need 500 to 5,000 labelled images per class depending on the task complexity. If you do not have labelled data, we provide data collection and annotation services, or we use transfer learning and synthetic data augmentation to reduce your data requirements.
How long does a computer vision project take?
A production computer vision system typically takes 8 to 16 weeks from data preparation through deployment. Simple classification tasks can be delivered faster. Complex multi-class detection systems with edge deployment take longer.
Ready to Get Started with Computer Vision?
Talk to our team about your requirements and get a tailored proposal within 24 hours.
Related Services
Explore more ways we can help your business.
Cloud, Security & Delivery
We architect, migrate, and manage cloud infrastructure, with built-in security, DevOps, and quality assurance. From zero-trust security frameworks to CI/CD pipelines, we deliver infrastructure that performs under pressure.
AI Integration & Automation
We connect leading AI APIs, OpenAI, Anthropic, Google Gemini, directly into your existing systems and workflows, automating repetitive operations and unlocking intelligent capabilities without rebuilding your stack.
Chatbot & Conversational AI Development
We build production-grade chatbots and conversational AI systems, including RAG-powered assistants that answer accurately from your company's own documents, policies, and data, for customer support, internal knowledge management, and sales enablement.