컴퓨터 비전 소프트웨어 개발

Depends heavily on the problem and how visually distinct the classes are. Transfer learning from pre-trained backbones means many tasks work well with a few hundred to a few thousand labeled images per class. Industrial defect detection often needs more — especially for rare defect types. Active learning, synthetic data, and augmentation reduce the labeling burden significantly.

Yes. We routinely ship models on NVIDIA Jetson, Google Coral, Raspberry Pi, mobile devices (iOS/Android), and even in the browser via WebGPU/WebAssembly. Edge deployment uses model quantization, pruning, and runtime optimization (TensorRT, ONNX Runtime, CoreML, TFLite).

Privacy is a design constraint. Where regulation requires it, we use on-device processing so raw frames never leave the camera, automatic redaction of faces and license plates, strict retention policies, audit logging, and explicit consent workflows. For regulated regions (EU, certain US states) we advise on GDPR and biometric privacy laws before building.

It varies enormously. Well-defined tasks with clean training data routinely reach 95%+ precision and recall; messy real-world conditions can drag this down. Rather than promising numbers upfront, we run a feasibility spike on a representative sample and report measured performance before scaling.

We instrument confidence distributions, drift in image statistics (brightness, contrast, scene composition), and where possible ground-truth feedback (operator overrides, audit reviews). Alerts fire when production performance diverges from validation benchmarks, triggering investigation or retraining.

Yes. We work with IP cameras over RTSP/RTMP, USB and industrial cameras, mobile cameras, and existing VMS systems. Integrations with Milestone, Genetec, and common factory PLCs are standard.

A focused proof of concept (single task, available data) ships in 6–10 weeks. A production system with edge deployment, integration, and monitoring typically takes 4–8 months. Multi-camera, multi-site rollouts run longer and are usually phased.