Service S.05 · Computer Vision & Physical AI · REAL-TIME VISUAL INTELLIGENCE

Your cameras already see everything. Now they can act on it.

Detection, inspection, and video analytics running in real time on factory floors, job sites, and medical imaging pipelines. Built on the cameras you own, deployed on your infrastructure, measured against accuracy targets you sign off on.

Book a discovery call Explore capabilities

30 minutes · an engineer, not a salesperson

95–99%
Accuracy on well-defined classes
<50 ms
Inference latency on edge hardware
24/7
Continuous monitoring, no fatigue
On-prem
Edge deployment, zero video egress

The problem · 01

Nobody can watch every frame.

Manual inspection is slow, inconsistent, and expensive. Operators fatigue, defects slip through at line speed, and the cameras you installed for visibility produce footage nobody has time to review.

Classic rule-based machine vision doesn't hold up either: it breaks the moment lighting shifts or a new part variant reaches the line. Modern vision models do: they detect, classify, and flag in real time, turning the cameras you already own into sensors your systems can act on.

Capabilities · 06 SYSTEMS

Six systems, one discipline: see, decide, act.

Each is scoped, trained, and evaluated against your data, not a demo dataset.

CV.01

Object Detection

Real-time identification and localization in images and video: inventory on pallets, vehicles at gates, PPE on people. Multi-object tracking with custom classes trained on your footage.

CV.02

Video Analytics

Live and recorded footage turned into structured events: motion and behavior analysis, crowd density estimation, and alerts routed to the people who act on them.

CV.03

Quality Inspection

Automated visual inspection at line speed: defect detection, dimensional checks, and surface inspection, with a logged result for every unit that passes the camera.

CV.04

Document Processing

Structured extraction beyond basic OCR: invoices, forms, contracts, and handwriting, classified and pushed into the systems that need the data.

CV.05

Medical Imaging

AI-assisted analysis of X-rays, CT, MRI, and pathology slides. Second-read support for clinical teams, built with HIPAA-conscious data handling from day one.

CV.06

Robotics & Physical AI

Perception for machines that move: pick-and-place guidance, 3D scene understanding, and navigation for robots working alongside people.

Where it runs · 04 INDUSTRIES

Grounded in real settings, not slide decks.

The same discipline (detect, decide, act) applied to four environments we know well.

IN.01 Manufacturing Inspection at line speed on the factory floor: assembly verification, defect detection, and visual cues for predictive maintenance, wired into the MES you already run. Visual inspection · Assembly verification · Maintenance cues
IN.02 Healthcare Imaging support for clinical teams: anomaly detection on radiology studies, pathology slide analysis, and patient monitoring, all inside your compliance boundary. Radiology assistance · Pathology analysis · Patient monitoring
IN.03 Retail Shelf monitoring and inventory counts from the cameras already on the ceiling, shopper-flow analytics, and loss prevention that flags incidents instead of archiving them. Shelf monitoring · Behavior analytics · Loss prevention
IN.04 Security & Job Sites Perimeter, facility, and construction-site monitoring that recognizes intrusions and anomalies as they happen and ties into access control: active protection, not passive recording. Intrusion detection · Anomaly recognition · Access control

How it works · 04 STEPS

From first footage to production, one pipeline.

Data, model, integration, operations: we own the whole pipeline, and you keep it.

STEP 01

Data & Targets

We audit your cameras and footage, define detection classes, and set accuracy targets you sign off on before any model is trained.

STEP 02

Model Development

Training and fine-tuning on your data (YOLO, RT-DETR, SAM, or domain-specific architectures), iterated against the targets until they're met.

STEP 03

Integration

Deployment to cloud, edge, or hybrid. We wire inference into your cameras, PLCs, and business systems through APIs your team already knows.

STEP 04

Monitor & Improve

Live accuracy dashboards, drift detection, and scheduled retraining. When conditions change on the floor, the model follows.

Toolchain · FIELD-TESTED

YOLO / RT-DETR SAM / Mask R-CNN TensorRT / OpenVINO NVIDIA Jetson DeepStream / GStreamer AWS · Azure · GCP · On-prem

FAQ · 04

Common questions

What types of computer vision solutions do you offer?+
The full range: object detection and recognition, video analytics and monitoring, quality inspection and defect detection, document processing and OCR, medical imaging analysis, and robotics integration for physical AI applications.
Can computer vision work with our existing camera infrastructure?+
Yes. We integrate with existing IP cameras, CCTV systems, and industrial cameras. For new deployments, we recommend camera setups matched to your specific use case.
How accurate are your object detection systems?+
Accuracy depends on the use case and training data. Production systems typically reach 95–99% on well-defined object classes, and we fine-tune models on your data to maximize performance in your environment.
Is edge deployment available for real-time processing?+
Yes. We deploy optimized models on edge devices such as NVIDIA Jetson, Intel NUCs, and industrial PCs for real-time inference with minimal latency, so video is processed on-premise and never has to leave your site.

Get started · 30 MIN

Talk to an engineer,
not a salesperson.

A free 30-minute technical consultation: your goals, your constraints, and a straight answer on whether AI is worth it for your case.

Book a discovery call

Prefer email? info@euforic.io

No commitment. No deck. Just engineering.