Hardware and software manufacturing complex

Schlumberger is the world's leading provider of technology for reservoir characterization, drilling, production, and processing in the global energy industry. The client struggled to fully automate the identification of a large number of parts with small visual differences using third-party instruments and solutions available on the market. Costly attempts to incorporate big-brand 3D scanners into the process were futile due to inadequate time characteristics. A custom hardware and software complex was required.

Building upon prior experience in this field, the SENLA team started working on the MVP. In just 10 seconds our module was able not only to accurately scan but also correctly codify and stamp a detail. The machine analyzed and marked similar parts in stock with the help of three digital cameras and electronic scales. The AI-enhanced system conducted recognition of scanned and weighted objects to check the correspondence to the standardized units with prerecorded detailed information in the database.

The developed solution was empowered by Big Data and Data Science applications in the form of predictive quality and anomaly detection modules.

The designed system, with WMS integration and a maintained database, helped the Client prepare object descriptions, operate offline, and instantly recognize objects. The Schlumberger team was particularly pleased with the built-in scaling potential of the complex.