Zentron Labs automates your processes that require visual checking. We use industrial cameras in conjunction with Computer Vision algorithms to deliver innovative and custom Machine-Vision solutions that perform automated visual inspection. Coupled with data analytics, it’s 100% quality that works for you, 24×7.

Whether in Manufacturing, Food, Agriculture or e-Commerce, our solutions enable you to deliver on your promise of quality, provide a superior experience to your customers, and show continuous growth in your business. It’s now time to enVision your Progress.


INDUSTRIES

Metal Forming

Measures dimensions: High speed in-line accurate measurements for 100% inspection as well as offline measurements for sample inspection. Report out process capability and trend charts


Agriculture

Colour sorting, size sorting, weight sorting and defect detection of fruits and vegetables. Includes customized reports and queries

Hi-Tech

Measures dimensions: High speed in-line accurate measurements for 100% inspection as well as offline measurements for sample inspection. Report out process capability and trend charts

One-Stop Solution For The Stamping Industry
Zenhuras, a collaborative venture of Zentron Labs, an Indian leader with deep expertise in advanced vision-based inspection and measurement, and Huras Stanzautomation, a European leader in stamping automation, hybrid part production, and process optimization, brings together the best of machine vision, automation, and process engineering to deliver an unparalleled value proposition
SYSTEMS

GTron

In-line, machine-vision–based inspection system engineered specifically for the optical gauging
of critical dimensions in stamped terminals.

iMM

A table-top, machine-vision-based gauging system engineered for quick, accurate,
and repeatable measurement of precision components

I-Turn

I-Turn is a table top, machine-vision based precision gauging system to inspect the dimensions of turned components

Hortisort

Vision-based high-speed  colour, size, weight and defect sorting using visible, Infrared and ultraviolet technology and machine-learning algorithms