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AI Solutions
Agentik OS has built production-grade computer vision pipelines for clients across manufacturing quality control, retail inventory management, and security surveillance. Our team works with OpenCV, PyTorch, TensorFlow, and cloud vision APIs from Google Cloud Vision, AWS Rekognition, and Azure Computer Vision to deliver image classification, object detection, facial recognition, and optical character recognition systems. We have deployed YOLO-based real-time detection systems that process over 60 frames per second on edge hardware, reducing manual inspection labor by 70% for industrial clients. Our expertise spans the full pipeline from data labeling and model training through deployment on edge devices, cloud servers, and mobile applications. Past projects include defect detection systems for electronics manufacturers achieving 99.2% accuracy, automated retail shelf monitoring that cut stockout rates by 45%, and document digitization pipelines processing thousands of scanned pages daily with sub-1% error rates. Every system ships with drift detection and performance dashboards so accuracy metrics stay visible long after launch.
Benefits
Concrete advantages that directly impact your bottom line.
Our Approach
A structured approach to delivering measurable results.
We audit your use case and select the right architecture: YOLO variants for real-time detection, EfficientNet or ResNet for classification, or OCR engines like PaddleOCR and Tesseract for document processing. We benchmark multiple approaches on your actual data before committing to a build, so you never pay for a solution that underperforms on your specific conditions.
We handle the full data workflow including collection, labeling with Label Studio and Roboflow, augmentation strategies, and training with PyTorch or TensorFlow. We apply transfer learning from pretrained foundation models to hit production accuracy targets with far less labeled data than traditional approaches require, cutting your data preparation costs significantly.
We package models as REST APIs, RTSP stream processors, or embedded firmware depending on your infrastructure. Every deployment is instrumented with distribution shift detection and latency dashboards so you see accuracy trends, inference speed, and data quality issues before they cause downstream failures in your production environment.
Related Expertise
Combine multiple areas of expertise for maximum impact.
AI Solutions
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Book a free discovery call to discuss how our Computer Vision AI expertise can transform your business.