The no. 1
vision solution
25%
visual inspection errors
in manufacturing take one
of two forms, missing an existing defect or incorrectly identifying a defect that does
not exist.
The no. 1
Quality as competitive advantage
Creating accurate and consistent visibility into your quality issues enables you to make informed decisions on quality improvements while boosting efficiencies and product margins. Find out how your emerging need for disrupting the manual visual inspection is fulfilled.
The opportunities created by digital transformation are fueling unprecedented change, driven by advances in cloud, data and artificial intelligence (AI). Utilizing high-definition cameras and AI brings joy to the life of your quality engineers by automatically evaluating physical items at the production line, identifying key characteristics and defects, classifying and reporting observations, and integrating findings into your existing business applications.
An out-of-the-box solution
Automating this process would take years of developments without overwhelming results in the past. Today we offer our out-of-the-box digitalNXT Vision solution which enables your engineers in training their own models while safeguarding their knowledge and experience. Customers investing in quality improvements today are seeing tremendous impact resulting in increased business performance and profitability.
Food processing firms have reduced the errors due to manual quality inspections significantly, logistic companies are tracking and visually monitoring the condition of their goods to decrease the number of claims. Engineering firms are securing and protecting the availability of our vital road, rail and water infrastructures to ensure distribution. Manufactures are monitoring their processes and equipment condition to avoid unplanned downtime.
Potato potential
Averis, part of Royal Avebe, is one of the launching customers of our digitalNXT Vision Solution. Creating the feedback loop to continuously monitor and improve the model output was crucial to their process of introducing new potato varieties.
Averis Seeds B.V. was founded as a 100 % daughter from Avebe. The company focus mainly on the development, multiplication and trade of starch potatoes. Averis Seeds aims for potato varieties with high yield, high starch and protein content and a broad set of resistance and embraces new technologies to support this process. Consistently and accurately assessing the quality over time enables Averis in making data-driven decisions and increases the number of successful introductions of new potato varieties to make their farmers happy!
Automatically recognizing asphalt damage
We developed a self-learning image-recognition algorithm for construction firm BAM, which enables fully automatic identification and labelling of asphalt damage based on video images.
Inspections previously carried out by highly skilled staff who spent all day analysing video images, has now become a fully automated process, and a second opinion is now only required in the event of doubt. BAM can make sure these people are assigned more important duties that are more in line with their skills.
DOWNLOADS
OUR
PARTNERS
