AI-based process analytics platform to increase productivity and quality in manual processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential.1. Real-time capture with camerasCameras are installed at individual assembly stations capturing live video streams ofassembly or packaging tasks.2. AI tracks material & work stepsVideo streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing.3. Aggregation for data analysisProcess data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis.4. Data-driven improvementsYour factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.

AI/ML

Analytics

Computer Vision

Software

Deltia

Maximilian Fischer

Srikar Giridhar

Laura Gelsema

Francisco Sanchez Trueba

Filippo Ceschia

Silviu Homoceanu

The Engineering Team at Deltia is responsible for developing and optimizing the company’s AI-based process analytics platform. They leverage expertise in computer vision and machine learning to enhance real-time video analysis of assembly processes, ensuring accurate tracking of operations and performance metrics. By collaborating on software solutions and integrating advanced AI algorithms, the team enables data-driven improvements that enhance productivity and quality across manufacturing environments.

Engineering Team

Engineering Team

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Team members