Saving Manufacturers 10+ Hours a Week
With Computer Vision AI

We help manufacturing plants eliminate 90% of manual quality inspection. Camera-based AI that works 24/7 — detecting faults, automating workflows, and alerting your team before damage or downtime occurs.

Computer Vision & Workflow Automation for Manufacturing Plants

3 Ways We Automate Your Plant

Our CV systems never blink, never get fatigued — handling 90%+ of visual quality checks and flagging anomalies before they reach the customer.

Inline Defect Detection

Automated visual inspection directly on your production line. Detects broken drill bits, surface defects, assembly errors, and dimensional issues in real time — before a bad batch ships.

Workflow Automation

Eliminate manual data entry and routing between machines and systems. CV-powered triggers that connect your production line to your existing ERP, MES, or alerting infrastructure without manual handoffs.

Full Implementation

End-to-end delivery: camera placement, custom model training on your equipment, system integration, and live alerts. You get a working solution, not a proof-of-concept.

How It Works

1

Install Cameras

Strategic camera placement at key fault and inspection points on your CNC machines and production line.

2

AI Monitors 24/7

Custom CV models trained on your specific equipment detect anomalies, defects, and fault conditions in real time.

3

Get Alerts

Instant notifications to operators when something is out of spec — before damage occurs or a bad batch ships.

24/7

Uptime — No operator fatigue

90%+

Inspection coverage automated

ROI by Week 2

Typically after the first prevented defect batch

Case Studies

Real CV systems solving real industrial problems

Oil & Gas

Oil Tank Level Monitoring

PyTorchResNet-52LSTMOpenCV

Problem

Field technicians had to manually check tank levels, leading to delays, inefficiency, and occasional overflow risks.

Solution

Built a computer vision system using ResNet-52 with PyTorch that monitors tank levels from camera feeds. Added LSTM temporal smoothing for stable, accurate predictions over time.

Result

Eliminated the manual tank monitoring job — the system automated what was previously a human task.