Computer Vision
Object detection, image classification, OCR, defect detection, and video analytics: custom-trained on your domain and data.
What we build
Locate and classify multiple objects in images or video frames. Works for products, people, vehicles, defects, and custom classes.
Assign categories to images at scale. Binary or multi-class. Trained on your labeled dataset or fine-tuned from pre-trained models.
Extract structured data from invoices, forms, IDs, and contracts. Handle variable layouts without manual template definition.
Identify manufacturing defects, surface anomalies, or quality issues from camera feeds. Reduce QA labor and false-negative rates.
Object tracking, activity recognition, and event detection in video streams. Real-time or batch processing.
Pixel-level classification for medical imaging, satellite imagery, autonomous systems, and precision agriculture.
Tools
Process
step 01
We assess your existing image data, design annotation schemas, and build labeled datasets. This is usually the hardest part.
step 02
We choose between training from scratch vs. fine-tuning a pre-trained backbone based on your data volume and compute budget.
step 03
Iterative training with precision/recall tradeoff analysis. We optimize for your specific error cost: false positives vs. false negatives.
step 04
Deploy to cloud API, on-premise server, or edge device. We optimize inference speed with quantization and pruning if needed.
FAQ
