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Interview with Pleora Technologies

Ahead of Image Sensors Europe 2021 online we spoke to Jonathan Hou, President, from Pleora Technologies spoke to us about the future of AI for image sensors, industry challenges and more...

1. You will be discussing the future of AI for image sensors – can you give us a sneak peak of the kinds of insights delegates will gain from listening to you speak?

As we make advances around AI deep learning software and hardware, edge processing with sensors becomes a viable option for applications in the industrial automation and machine vision markets. I’ll be discussing choices in terms of technologies and proposing some deployment approaches where sensors and AI can be easily integrated into new and existing installs around automation and quality inspection.

2. What do you think will be the biggest challenges to the image sensors industry in the next 12-24 months? How do you think the conference agenda addresses these?

As we move towards Industry 4.0, one of the challenges will be how to fuse data from multiple sources in order to get better results and work towards full automation. With sensors choices in 3D, hyperspectral imaging – there is a lot of data that needs to be transferred, fused, and processed to drive decisions on the factory floor.  We also need to see how we can make this entire process simple for the end-user. The conference provides the design community with a very good overview on topics around next-generation sensors and choices for applications in industrial automation.

3. What do you think will be some of the most interesting advancements image sensors in the near future? 

Both 3D and hyperspectral imaging provide great opportunities for a new class of applications. It will be interesting to see how adoption will help drive accessibility for these technologies.

4. What are you most looking forward to about attending the Image Sensors Europe Conference? 

I’m looking to learn about the latest advancements in image sensors and technology choices, but also trying to understand what this means in terms of applications for the industry.