Ultra-compact all-in-one 2D sensor for machine vision

01 August 2021

SICK has launched an ultra-compact all-in-one 2D vision sensor – the InspectorP611 – which can be set up quickly to conduct reliable inline machine vision inspections, even in the tightest of spaces, or when mounted on robot arms. 

With the SICK InspectorP611 2D vision sensor and pre-installed Quality Inspection SensorApp, users are able to rapidly configure inline inspection, part localisation and measurement tasks to run automatically on the device. 

Small enough to be mounted where it is needed inside a machine, the InspectorP611 is said to be suited for many in-line food processing, packaging and bottling applications, especially where finer details need to be measured, verified or inspected. It is small enough to also be mounted on robot arms to provide real-time quality checks and positioning tasks such as inserting small bottles into cartons.

“It might be the smallest of the InspectorP600 family of programmable 2D vision sensors, but the SICK InspectorP611 packs the power of its larger siblings into a miniature device that fits in the palm of your hand,” said Neil Sandhu, SICK’s UK product manager for Imaging, Measurement and Ranging. 

“It is quick and easy to configure machine vision applications using the onboard image processing tools provided within the SICK Quality Inspection SensorApp. It is also simple to download additional free tools for specific applications, such as glue bead inspection. More experienced users have the flexibility via the programming interface to access time-saving, ready-made code so they can fast-track customised inspections. Meanwhile even inexperienced users can progress to deep learning, starting from a low cost of ownership.”

Seamless integration with the SICK Intelligent Inspection Deep Learning SensorApp provides users with an opportunity using a vision sensor of the InspectorP61x’s tiny size to progress to Artificial Intelligence vision classifications. With the benefit of training a neural network based on real examples, users can try out the suitability of Deep Learning classification for an application before purchasing the additional license required. They can also use traditional rule-based vision tools together with Deep Learning to solve the application.

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