Pick[+]
Pick[+]
Pick[+]
Pick[+]
Pick[+]
Pick[+]
Pick[+]
Pick[+]
Pick[+]

Pick[+]

Pick[+] is BitMetrics’ AI-enabled solution for Pick Place and Random Bin Picking processes. Non-expert users in computer vision or artificial intelligence can autonomously create and modify their own applications, without requiring additional integration or coding. BitMetrics currently offers a cost-effective integration with Intel®️ RealSense’s camera. Integrations with Zivid©️ and IDS’s Ensenso©️ 3D cameras are also available for applications in high accuracy contexts (contact us for further details on these options). Pick[+] is a Deep Learning-based solution especially apt for chaotic, random positioning of items. It works both with: known parts using texture or geometric object attributes to perform a specific place action. It can also work with different pieces in the same pick scene with differentiated robot actions for part, unknown objects (parts that are automatically recognized without requiring CAD or any other user input). Once the scene is defined, Pick[+] is plug play offering candidate selection in milliseconds. Relevant advantages: It provides flexibility to your robot: Pick[+] license allows the users to create as many applications as needed (one application is executed at a time) Different pieces with different robot actions can co-exist in the same application It is easy to implement by following a guided set-up method for the picking process. All you have to do is define the robot’s type of ‘place’ that meets the specifics of your process Pick[+] is based on BitMetrics’ proprietary algorithms and models to ensure it performs in changing environments that require flexibility. Its license enables users to create as many applications as they need, which makes Pick[+] a competitive and reliable option to work with different parts and processes.

製造元:BitMetrics

Commerce#Overview

Pick[+] is BitMetrics’ AI-enabled solution for Pick Place and Random Bin Picking processes. Non-expert users in computer vision or artificial intelligence can autonomously create and modify their own applications, without requiring additional integration or coding. BitMetrics currently offers a cost-effective integration with Intel®️ RealSense’s camera. Integrations with Zivid©️ and IDS’s Ensenso©️ 3D cameras are also available for applications in high accuracy contexts (contact us for further details on these options). Pick[+] is a Deep Learning-based solution especially apt for chaotic, random positioning of items. It works both with: known parts using texture or geometric object attributes to perform a specific place action. It can also work with different pieces in the same pick scene with differentiated robot actions for part, unknown objects (parts that are automatically recognized without requiring CAD or any other user input). Once the scene is defined, Pick[+] is plug play offering candidate selection in milliseconds. Relevant advantages: It provides flexibility to your robot: Pick[+] license allows the users to create as many applications as needed (one application is executed at a time) Different pieces with different robot actions can co-exist in the same application It is easy to implement by following a guided set-up method for the picking process. All you have to do is define the robot’s type of ‘place’ that meets the specifics of your process Pick[+] is based on BitMetrics’ proprietary algorithms and models to ensure it performs in changing environments that require flexibility. Its license enables users to create as many applications as they need, which makes Pick[+] a competitive and reliable option to work with different parts and processes.

There are several documents and video tutorials that cover some of the most common functionalities of Pick[+] and serve as a complement to our user manuals.

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