Everyone is talking about Industrie 4.0 or Internet-of-Things (IoT). But which impact do smart 3D sensors like the Gocator have on these technology concepts? We spoke with Terry Arden, CEO of LMI Technologies, about the new possibilities of these sensors and big data analysis.
Terry Arden: Smart factories are built on sensory input, connected devices, and intelligent data analysis. Smart 3D sensors combine scanning, measurement, and control in a single device for 100% inline inspection. Smart sensors connect into the factory network to stream quality control data for pass/fail or optimization. Without smart sensors, factories run ´blind´ and cannot effectively use robotic automation or offer dynamic product line changes.
Arden:´Big data´ analysis or deep learning is a job for the global industrial automation companies such as Honeywell and Siemens, as the data they require spans the entire factory and not just the data produced by inspection. Inspection systems already integrate SPC (statistical process control) and monitor out-of-tolerance trending with alarms. Big data takes that in addition to production demand data (now coming from social media), supply chain data, machine uptimes and cycle times, etc., to optimize at a factory production level. Big data is essentially automating the traditional MRP function to respond to customer trends.
Dank Gesichtserkennungstechnologie identifiziert eine Security-Kamera Personen und sendet deren Namen an das Smartphone des Besitzers bzw. informiert den Nutzer über unbekannte Gesichter im Haus.
Conventional cameras capture images using only three frequency bands (red, blue, green), while the full visual spectrum is a much richer representation that facilitates a wide range of additional and important applications. A new technology allows conventional cameras to increase their spectral resolution, capturing information over a wide range of wavelengths without the need for specialized equipment or controlled lighting.
Although different 3D cameras and scanners have existed for some time, present solutions have been limited by several unwanted compromises. If you wanted high speed, you would get very low resolution and accuracy (e.g. Time-of-Flight cameras and existing stereo vision cameras, which despite being fast typically have resolution in the millimeter to centimeter range). If you wanted high resolution and accuracy, you would typically get a camera that was slow and expensive (e.g. the high accuracy scanners).
Vom 18. bis 19. Oktober veranstaltet der VDI die nunmehr 4. Fachkonferenz zum Thema ‚Industrielle Bildverarbeitung‘ im Kongresshaus Baden-Baden. In 19 Fachvorträgen werden u.a. die Schwerpunktthemen Automation in der Robotik mit 3D-Bildverarbeitung, Oberflächeninspektion und Bildverarbeitung in der Nahrungsmittelindustrie und intelligenten Logistik behandelt.
C-Red 2 is an ultra high speed low noise camera designed for high resolution SWIR-imaging based on the Snake detector from Sofradir. The camera is capable of unprecedented performances up to 400fps with a read out noise below 30 electrons. To achieve these performances, it integrates a 640×512 InGaAs PIN Photodiode detector with 15m pixel pitch for high resolution, which embeds an electronic shutter with integration pulses shorter than 1μs. The camera is capable of windowing and multiple ROI, allowing faster image rate while maintaining a very low noise.
Ob Automatisierung, Mensch-Maschine-Kollaboration in der Robotik oder selbstfahrende Autos – die Auswahl des richtigen Sensors hängt stark von der Applikation und dem gewünschten Output ab. Diese 6 Faktoren helfen Ihnen dabei, den passenden Sensor für Ihre Applikation zu finden!