Over the years we’ve composed a rich and diversified portfolio of cases.
Here are only a few of the many cases we are proud of.
Machine learning for optical sorting machines
Optimum Sorting designs and builds optical sorting machines for the food industry. Kapernikov helped them to use state-of-the-art machine learning in their new Cumulus platform, which enables them to offer their customers better sorting results and less downtime. …
Vision guided Autonomous Guided Vehicles for intralogistics
TVH Parts is the Belgian specialist in parts for material handling and industrial vehicles, and expert when it comes to motor drives and forklift mechanics. We are happy to announce that TVH joined forces with Kapernikov …
Deep learning applied for pose estimation
When it comes to logging the exact trajectory of an excavator, there are several solutions on the market. Kapernikov applies its expertise in computer vision and machine learning to track machine movements with speed and precision. …
Devops for flexible embedded software development and deployment
No matter how similar sorting tasks are in the food industry, there will always be subtle differences between them. Kapernikov helps Optimum Sorting to manage the software development and deployment process for their optical sorting machines by using modern devops methodologies. …
Ensuring data readiness for Infrabel Asset Management
Since 2012, Kapernikov has been ensuring the readiness of all master data used in Infrabel’s SAP EAM system. This has allowed the company to manage the maintenance of its installations more efficiently. …
Helmet detection for large industrial sites
Kapernikov developed a Proof of Concept (PoC) for a worldwide energy company, based on deep learning techniques, that enables to see whether people wear their safety helmets at work in designated areas. …
Data-driven asset lifetime extension
Kapernikov helped Elia to obtain an accurate overview of the condition of all its network equipment and to create an effective risk management process . We applied several database analysis techniques to support the company with its asset management strategy. …
Automatic vegetation detection for Infrabel
Kapernikov has developed a method to detect vegetation overgrowth alongside Belgium’s railway tracks. No luxury for railway operator Infrabel, since efficient vegetation management is critical for the safe operation of the railways. …
Master data management for Elia
As part of Elia’s Uniform Data Management program, Kapernikov developed a centralized reference database containing all of the company’s electrical assets. This database served as a reference for all departments and systems, which resulted in easier communication across the company. …
Supply chain and asset data collection for Infrabel
High-quality data about company assets is essential for efficient preventive maintenance. Based on our work with large utility and infrastructure companies, Kapernikov set up a comprehensive data collection campaign for Infrabel and offered the company a solid data collection framework for future ca …
