The relationship between retail and embedded vision has been long-standing and game-changing. As many of us have personally experienced, the concept of shopping itself has gone through a dramatic change over the past few years.

In the second episode of e-con Systems’ Vision Vitals podcast series, we look at Autonomous Shopping, which has been transforming the world of retail – thanks to embedded vision technology advancements.

The episode features Suganthi Sugumaran, Marketing Director at e-con Systems, who discusses the transition from traditional in-store shopping to the digital era, mobile commerce, and now, autonomous shopping. It covers how this evolution integrates the convenience of online shopping with the interactive experience of physical stores.

The discussion also highlights critical aspects of autonomous shopping, such as streamlined day-to-day operations, self-checkout systems, integration with daily life, and privacy concerns.

Let’s explore the operational impacts on retailers, including enhanced customer service and inventory management, while examining autonomous systems like advanced self-checkout, smart trolleys, and overhead roof cameras. We’ll get to know the challenges and key criteria for choosing the right vision solutions for these systems and their feasibility in different retail settings. And finally, we’ll get expert insights on the future of autonomous shopping and its role in the online versus offline shopping dynamic.

Uncover the mysterious intricacies of embedded vision technology as we sit down with Suresh Madhu, Head of Product Marketing at Econ Systems. Suresh is a seasoned vet with more than 16 years of experience in embedded product design and product development. Through our engaging conversation, Suresh throws light on the evolution of this technology, from the humble beginnings with mobile phone cameras to the development of applications as sophisticated as autonomous vehicles. Discover how cutting-edge trends like edge computing and sensor fusion are shaping industries and enhancing the accuracy and sophistication of applications.

As we delve deeper, we get to explore a wide array of topical issues. Suresh shares his insights on the unique challenges industries face when implementing embedded vision solutions, from cost considerations to the complexities of integrating multiple sensors. He also walks us through the transformation of autonomous mobile robots and the future of autonomous vehicles and agriculture vehicles. Strap in for a fascinating journey as we uncover the past, present, and future of embedded vision technology with Suresh Madhu. This episode is sure to be a treasure trove of insights for tech enthusiasts and vision tech experts alike.