Production-grade computer vision
For detection, classification, segmentation, and dimensional measurement under real lighting and motion conditions.
Visual inspection at production speed, with engineering behind it.
Quality on a modern line is a moving problem. Speeds rise, tolerances tighten, and the cost of a defect that escapes inspection rises with it.
Entiovi engineers computer vision systems that perform real-time visual inspection on production lines, detecting defects, verifying dimensions, and flagging deviations with the consistency that a human eye cannot sustain across a full shift.
Entiovi designs and deploys industrial vision systems that integrate with line cameras, controllers, and quality management infrastructure. The work covers data and annotation pipelines, model development tuned to production speed and lighting conditions, edge inference for in-line decision making, and integration with reject mechanisms, MES, and quality reporting.
Systems are calibrated to the defect classes that actually matter - not generic anomaly detection - and engineered to operate within the latency, throughput, and reliability envelope of the line they serve. The engineering reality of an industrial vision system is not the model. It is what happens around it.
For detection, classification, segmentation, and dimensional measurement under real lighting and motion conditions.
On industrial hardware with latency budgets aligned to line speed.
Covering defect taxonomy, labelling workflows, and data quality monitoring.
For closed-loop response when a defect is detected.
So every inspection event is recorded, traceable, and reportable.
With retraining workflows tied to changing product mix, materials, and operating conditions.
On metal, glass, plastic, textile, and printed materials.
Confirming every component is present and correctly placed before the part leaves the station.
Critical features measured in-line without slowing the production rate.
Verifying text, codes, and graphics against the master at full line speed.
Visual confirmation of joint integrity across automated and manual assembly.
In food, pharmaceutical, and electronics environments.
Higher first-pass yield, reduced scrap and rework, fewer escapes to the customer, more consistent quality across shifts and operators, and a quantitative quality record that supports root-cause analysis and continuous improvement.
Engagement begins with a line-level scoping pass - defect classes, line speed, lighting, hardware constraints - followed by camera and dataset engineering, model development, and pilot deployment on a single line. Once validated, the system is scaled across lines, sites, and product families, with a continuous retraining workflow tied to operating reality.
Industrial computer vision succeeds when it earns its place on the line. Entiovi builds for line speed, line conditions, and line operators - and engineers the rest of the system around them.
Talk to Entiovi about putting this discipline into production - from design and engineering through ongoing operation, with delivery from India and regional presence in your market.