SICK launches compact 2D vision camera with Deep Learning app onboard
SICK is launching its first vision camera with a pre-installed Deep Learning app onboard to make it simple to create custom quality inspections of complex or irregular-shaped produce, products or packaging. The system will bring opportunities for food industry operators to automate vision inspections, for example of naturally-grown produce, that may have previously defied automation using traditional systems.
The SICK Intelligent Inspection Deep Learning App runs on SICK’s newly launched Inspector P621 2D programmable vision camera. The all-in-one package enables machine builders and food processors to set up Artificial Intelligence vision classifications in a fraction of the time and cost it would take to set up complex inspections using traditional vision inspections based on pre-set rules.
Where it has previously been challenging to achieve consistently robust and repeatable quality inspections, with SICK Intelligent Inspection they can now be mastered with high levels of reliability and availability, according to the company. Automation is therefore practical and affordable for complex imaging tasks such as sorting fresh fruit and vegetables or inspecting packaging that may get easily deformed, for example.
Neil Sandhu, SICK’s UK product manager for Imaging, Measurement and Ranging explains: “By embedding the Intelligent Inspection App onto SICK’s Inspector P621 deep learning camera, SICK has made it possible for users to purchase a ready-made package that uses artificial intelligence to run complex vision inspections with ease.
“Users are guided through an intuitive process that teaches the system how to recognise ‘good and bad’ examples using SICK’s specially-optimised neural networks in the cloud.”
Using the SICK Inspector 621’s in-built image capture tool, users begin by collecting example images of their product in realistic production conditions. Guided step-by-step through the intuitive graphic interface, the system prompts them to sort the images into classes. Using SICK’s dStudio service, the pre-sorted images are uploaded to the Cloud where the image training process is completed by the neural network. The user can then apply further production images to evaluate and adjust the system.
Once the user is satisfied, the neural network is downloaded to the Inspector P621 camera where it can begin to take decisions automatically with no further Cloud connection necessary. Results are output to the control system as sensor values and digital I/O.
The image inference is carried out directly on the device, so there is no need for an additional PC. As the system training is done in the Cloud, there is also no need for separate training hardware or software, saving on implementation time and cost.
“Because it runs directly on the camera, the SICK Intelligent Inspection app does not require any additional hardware,” Sandhu continues. “So, users can automate complex vision inspections for a much lower cost of ownership. They can now consider automating quality inspections of products or goods that have just proved too difficult previously.
“Even better, the system can be set up in no time at all. Users may be able to manage the process themselves. However, if needed, SICK is also offering services to support customers through the feasibility, commissioning and neural network training process.”
Users also have access to a large set of traditional machine vision tools installed as standard on the SICK Inspector P621, so they can extend the functionality of their quality inspection further. Developers working in SICK’s AppSpace can also use SICK’s Nova software tools for further custom development and to create their own SensorApps. Starting with the Intelligent Inspection on-camera package still saves significant development time and cost.
The SICK Inspector P621 is a versatile all-in-one 2D CMOS vision sensor with 1.3mpix image resolution. With flexible illumination provided by powerful on-board LEDs, a high-quality lens, an adjustable electric focus, the SICK Inspector 621 provides high-quality images out of the box to support the Deep Learning process. With a rugged IP65 housing, its compact 71mm x 43mm x 35.6mm dimensions mean it can be installed even in small machine spaces and at tight angles. Its versatility for many applications is assured through a wide range of communications interfaces and compatibility with EtherNET/IP, EtherCAT, Profibus and PROFINET fieldbuses.
SICK Deep Learning is also now available as licensed option for all InspectorP600 2D vision sensors. Initially available with image classification, the SICK Intelligent Inspection App, will be extended to incorporate anomaly detection, localisation and segmentation functions later in 2021.
For more information about SICK Intelligent Inspection and the Inspector P621, contact Andrea Hornby on 01727 831121 or email [email protected].
