From high-speed factory counting and defect detection to banking-grade signature verification, U-Net pixel cleanup and warehouse ANPR/OCR: we engineer the entire computer-vision system from camera or PDF to production API.
WHAT WE BUILD IN THE REAL WORLD
Whether you need to count products on a fast line, verify signatures on banking documents or read damaged labels in a warehouse, we build the complete pipeline.
YOLO + Edge GPU · < 25 ms Count bottles, boxes, parts or sacks on moving conveyors, catch surface scratches, missing components or wrong labels in real time and trigger line PLC alerts before a bad batch ships.
Scope a factory vision system YOLO + U-Net + Siamese · >99% Region Recall Convert heterogeneous PDFs, TIFFs and scans without distorting stroke geometry, locate signatures with fine-tuned YOLO, strip overlapping stamps and form lines with U-Net segmentation and verify authenticity with Siamese networks.
Scope document & signature AI ANPR + Barcode / Stencil OCR Count pallets and cartons from fixed cameras or phones, read torn labels, container codes, VINs and analog utility meters, and automate truck/gate entry with license-plate recognition (ANPR).
Scope warehouse & gate vision U-Net + EfficientNet-B3 + Visual Search Clean product photos at pixel precision using U-Net with EfficientNet encoders, audit retail shelf share-of-shelf and out-of-stock gaps from a store rep phone photo, and power "find similar" visual search.
Scope retail & catalog vision
24/7 Existing Camera Streams Turn your existing IP security cameras into active safety monitors: detect missing helmets or vests, forklift-pedestrian proximity, perimeter intrusion, queue length and early smoke or fire.
Scope CCTV & safety analytics
Risk-Calibrated Thresholds Extract fields from passports and IDs, match faces with calibrated false-accept thresholds, detect screen-replay spoofing and segment cells, scans or instrument readouts under clinician review.
Scope KYC or diagnostic visionYou do not need ready-made training data. We plan camera placement, capture raw footage or documents and label bounding boxes, polygons and pairs.
When genuine vs forged samples or rare factory defects are scarce, we use controlled GAN and diffusion augmentation tested against hard failure modes.
Compare whether two signatures, faces, parts or parcels match using learned distance embeddings and validated decision thresholds.
Before classification or comparison, pixel-level segmentation removes overlapping stamps, handwriting, form lines or background noise.
Field staff snap a phone photo of a pressure gauge, utility meter or machine screen; the pipeline deskews and logs the exact reading.
Aerial orthomosaic and drone video pipelines that count assets, measure stockpile volume and spot panel or roof damage.
We standardize YOLO detection, U-Net segmentation and CNN/Siamese verification into ONNX Runtime so multi-stage pipelines run reliably.
Deploy on NVIDIA Jetson / industrial PCs for offline millisecond control, or on AWS SageMaker, S3, Kinesis and FastAPI with Prometheus monitoring.
WHERE ARE YOU STARTING FROM?
Pick your current situation below. We listen to your operational flow, design the camera/data architecture, collect and label the data and ship the production system.
You do not need a single labeled image to start. We review your factory line, warehouse, camera angle or document flow, specify the capture setup, collect and annotate the dataset and deliver the complete working software.
If your staff currently eyeballs products on a belt, counts stock by hand or checks signatures and stamps on PDFs, we map your error tolerance, train the multi-stage pipeline and wire it into your ERP, WMS or banking core.
Single-model setups break when documents have stamps, lighting shifts or classes are imbalanced. We audit your failure modes, add segmentation cleanup and Siamese verification, standardize on ONNX and recalibrate decision thresholds.
RISK-SENSITIVE ENGINEERING
Proven on banking signature verification, industrial inspection and high-volume document workflows: preprocessing, detection, pixel cleanup and threshold-calibrated verification engineered as one chain.
Avoid the silent resizing and compression mistakes that ruin downstream accuracy.
Most vision projects fail before the neural network even runs because naive resizing, lossy compression or bad binarization destroys stroke structure and micro-defects. We engineer controlled grayscale/color normalization, aspect-ratio-locked conversion and deskewing first.
Locate the exact signature, part, label or defect in a cluttered frame.
We fine-tune YOLO detectors on your complex layouts and camera angles, achieving >99% internal validation recall on target regions, then apply coordinate-based cropping onto the high-resolution source so zero detail is lost.
Strip overlapping stamps, form lines and background noise at the pixel level.
Real-world crops contain stamps, handwriting, conveyor glare or clutter. We train U-Net segmentation models (with EfficientNet/ResNet encoders) to isolate the clean signal, and use GAN/diffusion synthetic data to harden the model against rare edge cases.
Calibrate false-positive vs false-negative cost and serve via ONNX / FastAPI / AWS.
In banking, security and quality control, a false accept and a false reject have very different business costs. We benchmark CNN, Siamese and ensemble models, tune decision thresholds to your commercial risk and deploy via ONNX Runtime, Docker, FastAPI and AWS SageMaker.
COMMERCIAL MODELS
For teams that want a concrete technical plan, camera/data spec and fixed build quote.
Dataset preparation, custom model training, ONNX serving and ERP/line integration.
Keep accuracy high as new SKUs, document templates or lighting conditions appear.
Adjacent disciplines
Line counting, visual quality inspection, OEE tablets and ERP integration.
Banking & KYCSignature verification, forgery detection and KYC document pipelines.
WarehousePallet counting, BOL/customs OCR, barcode scanning and gate ANPR.
ProductionONNX Runtime, AWS SageMaker pipelines, Prometheus monitoring and drift gates.
Detect · Segment · Verify
We listen to your process, design the capture and model architecture, build the dataset and ship the production system.