Computer Vision Development — Build Systems That See and Understand

How We Approach Computer Vision Development

Computer vision turns cameras and images into business intelligence. A manufacturing line that automatically rejects defective parts. A retail store that tracks foot traffic and shelf inventory.

A healthcare system that screens medical images for anomalies. A logistics operation that reads barcodes, license plates, and shipping labels at scale. At ZTABS, we build production computer vision systems using a combination of pre-trained models (OpenAI GPT-4V, Google Vision AI), fine-tuned models (YOLO, Detectron2, SAM), and custom-trained architectures for specialized tasks.

We handle the full pipeline: data collection and labeling, model training and validation, inference optimization (edge deployment, GPU acceleration, model quantization), and production integration with your existing systems via REST APIs or real-time video streams. Our approach starts with your business problem, not the technology. We evaluate whether a pre-trained API, a fine-tuned model, or a custom-trained architecture gives you the best accuracy-to-cost ratio for your specific use case.

Most projects start with a proof-of-concept on your actual data within 2–3 weeks.