Here at Deeplite, we've been enjoying a number of opportunities to safely talk about the work we are doing, in person! Through a number of recent industry trade shows, we've been able to promote our solutions and how we are making AI accessible across a wide range of edge devices.
Most recently, the Deeplite team attended the Embedded Vision Summit in Santa Clara, Calif. and the IFSEC International conference in London. If you weren't able to attend, check out our highlights and key takeaways from the events below.
Embedded Vision Summit
First up is our recap of the Embedded Vision Summit, which showcased companies and speakers in the computer vision and visual AI space. It was very well attended, with over 80 exhibitors and around 100 speakers and panelists. The show experience and the content were definitely worth the trip, and provided valuable insights! The main focus was how organizations can bring visual intelligence to products – from cloud solutions to mobile applications.
Since this show was all about computer vision, a number of the vendors in attendance shared some similarities with Deeplite. But, through our discussions we found that every company has their own unique challenge that they want to address using AI. For example, a low-powered device that needs to be able to run complex AI models, an edge device that needs better accuracy, or an organization that needs to be able to run multiple applications on a GPU. There were then different types of applications to solve each of these challenges - Deeplite being one of them!
Nick Romano & Saad Ashfaq at the Deeplite booth at Embedded Vision Summit
Our CEO, Nick Romano, also had a good conversation with Jack Narcotta, a senior industry analyst from the firm Strategy Analytics. They discussed the role that AI can play in improving computer vision and how that can translate to better results across a range of applications, including smart home, security and surveillance, autonomous vehicles and more. If you're interested in hearing more on this topic check out this recent article written by our Chief Product Officer, Davis Sawyer.
Overall, the Embedded Vision Summit was a great show for Deeplite to be a part of, and seeing all the other organizations’ innovative work with computer vision was very compelling.
This year was our first time at the IFSEC International conference, which hosts organizations throughout the security supply chain. This conference was combined with several other shows, including FIREX International and the Safety & Health Expo, making for large crowds and a lot of new, innovative technology. Deeplite mostly stuck to the IFSEC International section, which was similar to ISC West as far as the type of organizations that had booths, but on a smaller scale. Security and surveillance companies dominated the floor, which our team was thrilled to see since our AI optimization technology is a great fit for surveillance cameras.
The booths at IFSEC International were centered around security & surveillance
Some of the vendors creating innovative technology included those making smart body cameras for police, and others that were making smart drones for homes and businesses. Several were trying to run vision-based applications in the cloud or on much larger GPU-powered devices, which is expensive. However, often this is because they haven’t explored what they can do on their existing hardware cameras, which factors into the need to do more with less – a common theme throughout the industry. These organizations’ immediate reaction is that they can’t run what they need to on their existing hardware, which is why they need the cloud. They may not realize what is possible with edge devices, and how companies can run multiple applications on the same hardware, like a CPU or GPU.
Deeplite’s solutions are complementary to the cloud because they can help organizations disperse their tasks depending on importance. For example, we can help organizations run less time-sensitive tasks on the cloud, and save the important ones for edge devices, where speed is a necessity. For a surveillance company, for example, vision-based AI is very critical from a security perspective, so they will need to be looking at the edge to run their technology because of accuracy needs, but they could put a less business-critical function into the cloud.
Our team got a lot out of these two conferences, including new connections and insight into what organizations are really looking for in terms of AI optimization needs. We're excited to see what's next!
Is your organization looking to maximize the AI models on their edge devices? Contact us today to learn more about Deeplite’s optimization solutions.