The UX isn't perfectly smooth. You can feel the latency of the recognition software. Also, the operator has to move relatively slowly to give a chance to the acquired digital image to stabilize. However, it still beats the human perception by a sizeable margin.
These days CV models can handle trivial tasks like barcode recognition in near real-time even on commodity smartphones. Mostly thanks to the dedicated hardware like neural engines/tensor blocks etc.
Since vision is quite popular these days (cameras, AR/VR etc), things should progress even more quickly on the hardware front these days. E.g. building more affordable robotic assistants for the warehouse that are procured from cheaper parts but minor inefficiencies in the gear drives and motors are compensated by the software. This is similar to what Ocado Group has been aiming for when they acquired HaddingtonDynamics for their tech.
Also NVidia Omniverse, as a bet for creating digital twins for the reinforcement learning.
For those wondering about this VizPick technology, there is a short video demo from two years ago at
https://www.reddit.com/r/walmart/comments/l0bn4m/for_those_wondering_about_vizpick/
The UX isn't perfectly smooth. You can feel the latency of the recognition software. Also, the operator has to move relatively slowly to give a chance to the acquired digital image to stabilize. However, it still beats the human perception by a sizeable margin.
2 years are a long way in ML.
These days CV models can handle trivial tasks like barcode recognition in near real-time even on commodity smartphones. Mostly thanks to the dedicated hardware like neural engines/tensor blocks etc.
Since vision is quite popular these days (cameras, AR/VR etc), things should progress even more quickly on the hardware front these days. E.g. building more affordable robotic assistants for the warehouse that are procured from cheaper parts but minor inefficiencies in the gear drives and motors are compensated by the software. This is similar to what Ocado Group has been aiming for when they acquired HaddingtonDynamics for their tech.
Also NVidia Omniverse, as a bet for creating digital twins for the reinforcement learning.