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Service / Computer VisionObject detection, segmentation, OCR, defect detection, retail analytics, and safety monitoring. From YOLO on edge devices to custom HuggingFace pipelines on GPU clusters. We label, train, deploy, and monitor in production.
Specific things we deliver under this service. Most projects combine three or four of these into one system.
YOLOv8, YOLOv9, RT DETR for real time detection. Custom datasets, custom classes, optimized for your hardware budget.
Manufacturing line vision for surface defects, missing components, dimensional checks, and assembly verification.
Custom OCR pipelines for IDs, invoices, forms, and handwritten records. Layout aware extraction with structured output.
People counting, dwell time, queue analytics, demographics, heatmaps. All edge inference. No cloud sensitive data.
Hard hat detection, fall detection, exclusion zone monitoring, vehicle and pedestrian conflict alerts.
Whatever your camera sees, we can model. Segmentation, classification, tracking, pose estimation, multi camera coordination.
If any of these match your current operations, this service is probably the right entry point.
| Detection | YOLOv8, YOLOv9, RT DETR, Detectron2, DETR variants |
|---|---|
| Segmentation | SAM, SAM2, Mask R CNN, custom U Net |
| OCR | Tesseract, PaddleOCR, custom transformer based |
| Edge inference | ONNX, TensorRT, OpenVINO, CoreML |
| Hardware | Jetson, Coral, RPi, x86 industrial, AWS Panorama |
| Labeling | CVAT, Roboflow, Label Studio, custom pipelines |
| Training | Custom datasets, augmentation, active learning |
| Pricing | $15k to $80k depending on hardware and accuracy |
Less than you think. With modern foundation models and pretrained backbones, 200 to 500 labeled examples is often enough for a strong v1. We use active learning to grow the dataset efficiently.
Depends on latency, bandwidth, and privacy. We have shipped both. Edge wins for low latency, offline robustness, and privacy. Cloud wins for centralized fleets and post processing analytics.
NVIDIA Jetson, Google Coral, Raspberry Pi, industrial x86, and standard cloud GPUs. We optimize for the cheapest hardware that meets latency and accuracy targets.
Threshold tuning, multi frame confirmation, ensemble voting, and human in the loop review for borderline cases. We tune the cost asymmetry per use case. Missing a defect is worse than flagging one extra.
Usually yes. We work with IP cameras over RTSP, USB cameras, industrial cameras over GigE, and most factory and warehouse setups.
First call is 30 minutes. We will tell you whether this service is the right fit, and if not, which one is.