July 16-18, 2024 Online. FREE Registration.
Voaige

PROMOTED: Challenges and Solutions: Deploying AI Vision for Inspection and Robot Guidance

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Challenges and Solutions: Deploying AI Vision for Inspection and Robot Guidance

Presented by: Dipan Pal, Voaige

AI vision systems are finally emerging with the flexibility & reliability that industrial vision and automation needs. In fact, many talks in this conference align with this theme. However, there are many things to consider in order to ensure a successful technology integration and deployment. This talk will go through some challenges that one needs to address while scoping out AI vision systems. Pal outlines some solutions and industry best practices. Additionally, how partnering with vision expert teams allow for reducing engineering complexity and moving quickly with more confidence.

Voaige specializes in building vision solutions for advanced inspection and robot guidance. Voaige works with end users and advanced system integrators to deploy automation solutions that are challenging or would typically not be possible. A few sample projects include the industry’s first fully CAD free industrial robot picking, picking from a pile for high-speed delta robots, inspection for deformable protein food products such as chicken breasts etc., mixed SKU tote inspection & picking for logistics, CPG, and more.

Voaige is an advanced solutions provider that lets you solve automation challenges without breaking the budget.


About the presenter
Dipan PalDipan Pal, Ph.D., the founder and CEO of Voaige, which is dedicated to AI for robotics, developing physical reasoning systems for various robotic platforms. He holds a doctorate in AI from Cargenie Mellon University, with significant contributions in deep learning and computer vision. His work includes deep neural architecture research, computer vision and advanced face recognition, used by US government agencies.




About the sponsor(s)
  • Voaige - Developer of advanced vision solutions for inspection, picking, and packing. Industrial-grade AI software can handle parts with large variance in sizes and is built for reliability and robustness.


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