To coincide with AIA Vision Week, an online five-day event of speakers and industry product showcase, MVPro has rekindled the quickfire Q&A.
We have sought the opinions of presenters, businesses and sponsors on this new online conference format, how they have adapted to the format and also their views on the impact of the Covid-19 pandemic.
We will share a number of them across the week. Today Jonathan Hou, CTO of Pleroa Technologies provides the answers.
Jonathan will be presenting Embedded Learning and the Evolution of Machine Vision on Thursday at 1.30pm (ET).
What’s your take on the ‘virtual’ conference?
The AIA has done a good job at putting together a compelling event, despite the challenges. The timing of COVID-19 has been unfortunate for Pleora, as we were planning to demonstrate our new AI Gateway at a number of trade shows throughout the spring. I think we are missing the networking aspects of trade shows, especially when introducing a new product where user feedback is so valuable. On the positive side, there are advantages to a “virtual presentation”. It can be difficult to attend sessions, especially when you’re also exhibiting at a show, so there’s an opportunity to participate in more of the conference presentations.
How have you adapted your presentation – given it’s online and not at event?
Not significantly. There are a few areas where we could have used video but are a bit worried about technical issues. Hopefully, with an online event, participants are more comfortable asking questions. As a company we’ve started doing more online demos with customers over recent weeks, so I’m pretty comfortable hosting a “virtual presentation”.
What will you be discussing in your AIA Vision Week presentation?
My presentation is on embedded learning and the evolution of machine vision. Primarily, I’m going to be discussing how embedded solutions, machine learning, and artificial intelligence are poised to change the vision market as we look ahead to Industry 4.0 and Internet of Things applications. I’ll look at how AI and machine learning compare with traditional computer vision, and the advantages of each approach. Likely the biggest question for many in the audience will relate to AI deployment, and we know there are a lot of concerns for system designers, integrators, and end-users related to infrastructure, data collection and training, and impact on proven processes. I’ll be highlighting a “hybrid” approach to AI, which uses plug-in training methods and existing infrastructure to significantly reduce the cost and complexity of deploying machine learning capabilities for inspection applications.
What other presentations will you be tuning into?
It’s a really strong agenda, with some very interesting topics focused on new technologies and applications. I’m particularly interested in some of the topics around AI and different sensors, specifically practical uses cases from end users.
How have you and the business adapted during the COVID-19 crisis and what will be the biggest impact of the COVID-19 crisis?
As a company we were very quick to take proactive measures. The majority of our employees are working from home, and we have reorganised work spaces to help ensure social distancing and safety for our essential employees so Pleora can continue to manufacture products. One of the biggest changes for us is how we demonstrate products.
Typically we’d be demonstrating our new AI Gateway (above) and events or during customer visits, but with a bit of creativity we’re now able to showcase new capabilities from home labs of our engineering team. From a business perspective, our products for thermal screening and X-ray applications are in very high demand. We´re also in the early stages of working with a few companies who are investigating ways to use artificial intelligence and machine learning to help screen for the virus.