VITEK
Predictive Models & Machine Vision

Industrial AI & Operations Analytics

Automated visual defect inspection, telemetry-based predictive maintenance, and local yield optimization models running securely at the edge.

The Operational Bottleneck

Human error in visual inspection and costly unpredicted mechanical stops

Inspection fatigue leads to critical micro-defects escaping to customers. Simultaneously, machinery fails unexpectedly because maintenance is planned on fixed calendar days rather than real wear telemetry.

01

Tier 1 customer quality escapes and chargebacks

A single escaped defective batch risks customer certification status and triggers severe financial penalties.

02

Blind calendar maintenance

Good parts are replaced prematurely or motors run unmonitored until catastrophic breakdown.

03

Dark data waste

Millions of sensor signals are gathered every hour but stored in silos without predictive intelligence.

Engineered Solution

Industrial vision cameras with local inference and early warning anomaly models

We deploy edge computer vision models running at 60 fps directly on the line station, plus time-series anomaly detectors flagging motor failures 48 hours before breakdown.

99.8% accuracy

Computer Vision Inspection at the Edge

Sub-millimeter inspection of scratches, solder joints, and barcode defects using GigE cameras.

48h early alert

Predictive Vibration & Current Analysis

Algorithms detecting anomalous harmonics to predict motor and bearing wear ahead of failure.

0 ms cloud latency

100% On-Premise Edge Execution

All neural inference runs locally on industrial edge hardware (NVIDIA Jetson / industrial IPCs) with zero external dependency.

Industrial & Tech Stack
PythonPyTorch / ONNXOpenCVNVIDIA DeepStreamEdge ImpulseFastAPIInfluxDB
FAQ

Frequently Asked Technical Questions

Do we need an internet connection for machine vision inspection?

No. Models run entirely on local edge hardware wired directly to the camera and the station PLC.

How many sample defect images are required to train the model?

We use anomaly detection techniques requiring only 50 to 100 good piece samples to learn normal tolerances and flag deviations.

Free Engineering Diagnostic

Ready to Digitize Your Shop Floor?

Tell us about your machinery, lines, or ERP integration goals. We respond with a technical scope within 24 hours.