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Vision-Driven Automation Solutions: Data, Models, Edge Deployment, and Continuous MLOps
Automate 100% visual inspection at production speed. Most of the computer vision solutions we’ve built are for manufacturing firms, where AI systems analyze high-resolution images to detect all kinds of anomalies invisible to the human eye.
Using deep learning frameworks trained on thousands of defect examples, our models compare real-time 3D product images with pre-defined patterns, detect deviations with 99%+ accuracy, and trigger alerts.
Computer vision applications we build use AI and deep learning models to identify SKUs and track shelf availability. It also checks product movement patterns and monitors planogram compliance with high recognition accuracy across varied lighting and camera angles.
Our AI engineers integrate these systems with your ERP and POS data to provide real-time shrinkage alerts and shelf-out predictions. We've helped retail and CPG enterprises gain 35-55% faster restocking cycles and up to 60% reduction in out-of-stock incidents.
In healthcare, our computer vision services cover advanced deep learning tools for diagnostic support, anomaly detection, workflow automation, and cost savings. We use Convolutional Neural Networks (CNNs) to analyze X-rays, MRIs, and CT scans with AUC scores exceeding 0.94 on benchmark datasets.
Our Computer Vision models integrate securely with PACS/EHR platforms through HIPAA-compliant APIs to automatically detect anomalies and flag complex cases for human intervention.
Get real-time perception and safety intelligence for autonomous vehicles, industrial robotics, smart infrastructure, and workplace monitoring. Our models recognize objects, detect PPE compliance, and predict unsafe patterns in real environments.
Combined with continuous MLOps pipelines, they maintain accuracy with changing conditions and environments. Enterprises deploying our Computer Vision safety solutions have reported 3X faster incident response and significant compliance cost savings within the first operational year.
Build highly customized CNN/ViT models trained on your enterprise data, with transfer learning, workflow-specific tuning, and KPI-aligned accuracy/performance targets for manufacturing, healthcare, retail, or logistics applications.
Implement detection algorithms (YOLO, Faster R-CNN, SSD) and multi-class object recognition for simultaneous detection of multiple object types, real-time processing capabilities for video streams and live camera feeds, and bounding box generation with confidence scoring.
Our computer vision developers build secure facial recognition systems for access control and time tracking, emotion/expression analysis for customer experience optimization, age and demographic estimation for retail analytics, and liveness detection to prevent spoofing attacks.
Enable pixel‑level understanding via multi-class image classification for categorizing products, semantic segmentation to identify specific regions within images, medical image segmentation for tumor identification and organ analysis, and automated quality grading systems.
Our Computer Vision development services include document-intelligence solutions like text extraction from images, PDFs, and scanned documents, handwriting recognition for forms and historical records, invoice processing automation, and license plate recognition for logistics.
Create advanced 3D vision with our AI developers to enable depth estimation, pose estimation, volumetrics, and 360-degree inspection for robotics manipulation, warehouse dimensioning, autonomous navigation, and high‑precision manufacturing QA.
Radixweb’s Computer Vision business solutions in edge AI cover model optimization for edge deployment, implementation on edge devices, edge-cloud hybrid architectures for distributed processing, real-time inference with sub-100ms latency, and offline capability.
We build RESTful APIs for easy system connectivity with ERP, MES, and operational technology platforms, create microservices architecture for scalable deployment, webhook and event-driven architectures for real-time notifications, and provide comprehensive SDK support.
Our MLOps engineers specialize in data annotation and labeling services with quality assurance, model retraining on new data to address concept drift, hyperparameter tuning and architecture optimization, A/B testing and performance benchmarking, and continuous monitoring.
Expertise that’s grounded in years of digital engineering, built for AI scale.
Years of Building Enterprise-Grade Tech Solutions
Successful Enterprise Project Deployments
Post-Project Client Satisfaction Score
Multidisciplinary Engineers with Cross-Industry Experience

At Radixweb, we actively track the latest research and emerging frameworks, participate in industry seminars, conferences, and knowledge-sharing forums to see how trends are evolving and assess which approaches work best in practice.
A carefully selected process that applies domain analysis, data preparation, model development, validation, and deployment to meet enterprise requirements and operational realities.


Design systems to detect anomalies and quality deviations on production lines in real time. High-resolution cameras and custom computer vision models allow our clients to reduce inspection errors and maintain consistent throughput in high-speed environments.
Our models analyze product placement, stock levels, and planogram compliance in retail stores. By monitoring shelves continuously, we help companies reduce out-of-stock incidents and optimize shelf space utilization.
As part of our custom computer vision development services, we deploy multi-camera setups with real-time analytics to monitor manufacturing floors, warehouses, and retail spaces. The system can detect unusual activity and generate reports for process optimization.
Vision systems we build are used for workplace safety and regulatory compliance. Detect unsafe behaviors, missing protective equipment, or restricted area access. You can automate or integrate alerts with existing safety management systems.
Track assets, equipment, and personnel movement within facilities using Computer Vision as a Service. Our developers help enterprises optimize resource allocation and reduce equipment loss using metrics such as utilization rates, movement patterns, and dwell times.
Build AI solutions to power robots and autonomous vehicles that perceive and navigate complex environments. We integrate depth sensing, object detection, and SLAM (simultaneous localization and mapping) for industrial automation, warehouse robotics, and autonomous delivery.
We use cameras and visual sensors to monitor equipment conditions and detect early signs of wear, misalignment, defects, or corrosion to reduce unplanned downtimes. As we combine Computer Vision apps with historical maintenance data, you get data-based alerts before failures occur.
Test your idea with a fixed-scope PoC. Includes architecture, data pipeline setup, and model training.
Radixweb is a Tier-1 partner specializing in AI, ML, cloud, and analytics. Our Computer Vision development company builds AI-driven systems that interpret images, detect objects, and automate visual processes.
They are a solution-oriented team that is proactive in its problem-solving, and they’re willing to work extra hours to accommodate the business needs. They are a transparent and supportive partner.

Radixweb always reacted well to the uncertainties of the projects. Such proactive measures helped us communicate better and look closely into the nitty-gritty of the project.

They kept things moving, paid attention to details, and jumped in with ideas when we needed them. It felt like working with people who were genuinely invested in seeing the project succeed, which made the whole process a lot easier.

Build or extend your in-house capacity with our 20+ certified AI/ML engineers.