Computer Vision
Object detection, face recognition, OCR, and visual monitoring systems deployed on edge or cloud.
Vision systems in the real world
We build computer-vision systems that work in production — not just on a curated test set. Real lighting, real cameras, real edge cases. Object detection, face recognition, OCR, people counting, defect detection, license plate recognition.
Where it deploys
Edge devices (Jetson, Raspberry Pi with Coral), on-prem GPU servers, or cloud inference endpoints — depending on latency, privacy, and bandwidth. Many of our deployments are entirely air-gapped from the public internet.
What we build
Face detection and recognition for access control, object detection for retail inventory and quality assurance, OCR for document processing, anomaly detection for industrial workflows, and visual monitoring systems that alert on real events (not motion, not noise).
Privacy and compliance
We design for the privacy posture you need — on-device anonymization, no raw image retention, audit logging of every inference, GDPR/DPDP-aligned data handling. We can talk to your compliance team in their language.
Frequently asked questions
Can your vision system run offline?
Yes — many of our deployments are fully air-gapped. We package models for edge devices (NVIDIA Jetson, Coral, commodity x86) so inference runs locally with no cloud dependency.
What about accuracy on our specific environment?
We start with a pre-trained baseline and fine-tune on your real data. We ship with an evaluation report showing precision/recall on your actual environment, not a generic benchmark.
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