Computer Vision & Visual AI measuring at machine scale.
Visual intelligence that inspects manufacturing defects, identifies inventory items, extracts identity credentials, and measures spatial dimensions automatically.
Lab vision models fail under factory dust and changing lights. We engineer computer vision built for the physical world.
Consumer vision APIs fail under variable industrial lighting, camera vibration, and high-velocity motion. Steigern Tech builds specialized computer vision models calibrated to your specific camera sensors, focal lengths, and operational environments — delivering millisecond inference right on the edge.
Lighting & noise resilience
Trained with synthetic distortions, optical blurs, and glare augmentation to guarantee high accuracy under fluctuating physical lighting.
Sub-50ms on-device inference
Quantized TensorRT and CoreML weights executing directly on edge cameras and factory PCs without cloud internet roundtrips.
Zero video stream uploads
Full frame analysis occurs locally on-premises. Video feeds never traverse the internet, protecting sensitive facilities.
Six visual capabilities, at hardware speed.
Production vision requires hardware-software co-design: custom YOLO and segmentation architectures are compiled directly to TensorRT and CoreML to run on local edge gateways without cloud latency or bandwidth costs.
Manufacturing defect detection
Catch microscopic scratches, assembly alignment flaws, and component omissions at up to 120 parts per minute on active production lines.
Object detection & tracking
YOLO-powered multi-object tracking for inventory counting, safety boundary enforcement, and vehicular traffic flow profiling.
High-speed OCR & barcode decoding
Extract IDs, passports, shipping labels, and serial barcodes instantly from camera feeds with auto-skew correction.
Dimension & volume estimation
Calculate 3D box dimensions, pallet cargo volumes, and spatial clearances using calibrated single or stereo camera setups.
Facial authentication & perimeter vision
Liveness-verified facial authentication and virtual perimeter breach detection for restricted industrial areas.
Mobile CoreML & TensorRT deployment
Compile models for Apple Neural Engine, NVIDIA Jetson, and Android NPUs for offline mobile field inspections.
From camera feeds to millisecond detections, hardened for the physical world.
We test vision models on actual factory floors, logistics hubs, and surveillance feeds — accounting for optical distortion, lens flare, dust, and nighttime conditions.
Optical & sensor audit
Inspect camera hardware, frame rates, lens distortions, ambient illumination shifts, and edge compute limits (NVIDIA Jetson, Intel OpenVINO, Apple Silicon).
Synthetic & real dataset curation
Synthesize rare defect edge cases and annotate high-fidelity bounding boxes, keypoints, and segmentation masks with sub-pixel precision.
Model architecture selection & pruning
Select and prune YOLOv8, RT-DETR, or lightweight vision transformers targeting your exact FPS and power budget.
Edge benchmark prototype
Compile with TensorRT / ONNX Runtime and evaluate live detection latency and mAP directly on your target hardware.
Stream failover & telemetry
Deploy automatic stream reconnection, dropped frame buffering, edge health telemetry, and cloud synchronization.
Seasonal drift calibration
Continuously capture edge-case false positives and retrain models to adapt to changing ambient lighting and seasons.
Optical & sensor audit:Inspect camera hardware, frame rates, lens distortions, ambient illumination shifts, and edge compute limits (NVIDIA Jetson, Intel OpenVINO, Apple Silicon).
hardened multi-stream deployment with edge failover and enterprise alerts
optical recalibration, edge model weight updates, and false-positive reduction
Vision Outcomes that protect product quality.
Replacing human fatigue with relentless machine perception. These are the measurable metrics we deliver in production vision systems.
99.4% Defect detection accuracy
Eliminating production flaws before products depart the factory floor, drastically cutting costly warranty returns.
Sub-50ms inference response
Real-time frame evaluation matching high-velocity conveyor belts and automated packaging systems seamlessly.
100% On-premises privacy
Zero video bandwidth consumption and zero cloud exposure, maintaining absolute compliance with industrial security policies.
Instant mobile document scanning
Sub-second camera scanning on worker smartphones, eliminating paperwork delays in field logistics and warehouse intake.
Automated visual inventory counts
Instant camera pallet verification replacing tedious multi-hour manual clipboard counts with computerized accuracy.
Continuous lighting calibration
Automated drift monitors alerting maintenance before optical dust or lightbulb degradation impacts accuracy thresholds.
Accelerated vision engines built for sub-10ms edge execution.
We compile models with NVIDIA TensorRT, ONNX Runtime, and OpenCV to maximize GPU and NPU utilization on edge gateways, eliminating costly cloud video streaming fees.
Idea to Market–Ready Product
We turn your idea into a secure, compliant, and test-ready product in weeks, not months.
Inquiry & Scoping
We rapidly decompose requirements, pressure-test commercial viability, and align technical scope before capital is committed.
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Share your operational bottlenecks, dataset needs, or automation goals. An AI solutions architect will provide an architectural roadmap within 24 business hours.