In Nuremberg, Sick will be presenting how sensor data and seamless transparency can improve even complex production processes in various innovation sectors and make them safely controllable. As a provider of one of the largest portfolios of sensor, system and service solutions, the company is focussing this year on consumer goods production, mobile platforms and robotics challenges in production as well as on the topic of traceability in the logistical flow of goods and materials.
Deviations within production or faulty products in consumer goods manufacturing can lead to unnecessary rejects, product recalls or even damage to the company's own brand. Quality control therefore aims to monitor and optimise the quality of products and processes along the entire value chain. The aim is to, Recognising and eliminating deviations at an early stage. With a resolution of up to five megapixels, integrated lighting and a Gigabit Ethernet connection, the new Inspector83x 2D vision sensor is particularly suitable for Suitable for typical inline inspection tasks.
The Sick Nova image processing platform is pre-installed on the Inspector83x as a hardware-specific SensorApp, which can be used with the help of artificial intelligence (AI) ensures immediate operational readiness. It enables both experts and non-experts to configure the sensor quickly and easily via an intuitive browser-based user interface and to set up powerful, high-precision AI inspections. The camera is presented with samples under production conditions.
With PalLoc, the camera system for „Pallet content Localisation“, the company presents an AI-supported, adaptive localisation solution for the Automatic depalletising with robots. It combines a powerful 3D snapshot camera with a factory pre-installed and pre-trained neural network and a new deep learning-based localisation algorithm and offers the ability to localise almost unlimited variants of stacked cartons on pallets and provides position coordinates for reliable and safe robot operation.
Sick at the SPS: Hall 7A, Stand 340
