1. Connect cameras, sensors and other sources with Deep Learning DS to acquire data.
2. Data acquisition: So-called ground truth data form the basis for the successful training of AI models.
3. AI models are trained and evaluated for automation tasks with a just a few mouse clicks.
4. Deploy AI for real-time execution using Inference DS.
5. The fully trained AI can be quickly integrated into existing and newly designed systems.
6. High quality data is generated and analyzed during AI execution (inference). This makes the automated processes transparent and measurable.
With Deep Learning DS, automation tasks can be realized and optimized much more efficiently using data-based learning methods, from standard applications to highly complex robot integration - and without a single line of programming code.
To solve automation tasks, an AI is trained with a few mouse clicks rather than developing and integrating a solution from scratch - saving a lot of time and integration costs.
Deep Learning DS data management not only provides full transparency on the performance of your equipment with statistics and metrics, but also the basis for the next AI-based automation steps and the continuous improvement of your processes.
Enable your company to benefit from the most recent advances of artificial intelligence.