Edge Impulse's FOMO (Faster Objects, More Objects), introduced earlier this year, is a brand new approach to running object detection models on resource-constrained devices. This ground-breaking algorithm brings real-time object detection, tracking and counting to microcontrollers, such as Sony's Spresense product line, for the first time.
Sony's latest multicore Spresense microcontrollers, in combination with the company's high-resolution image sensor and camera portfolios as well as global LTE connectivity capabilities, create robust computer vision hardware platforms. In this webinar, you'll learn how Edge Impulse's software expertise and products unlock this hardware potential to deliver an optimized total solution for agriculture technology, industrial IoT, smart cities, remote monitoring and other application opportunities.
The webinar will be presented by Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, and Armaghan Ebrahimi, Partner Solutions Engineer at Sony Electronics Professional Solutions Americas. Plunkett and Ebrahimi will introduce their respective companies' technologies and products, as well as explain how they complement each other in delivering enhanced edge machine learning, computer vision and IoT capabilities.
The webinar will include demonstrations of the concepts discussed, detailing how to bring to life applications with needs for sensor analysis, machine learning, image processing and data filtering. A question-and-answer session will follow the presentation.
This Vision Systems Design webinar will explore the role machine vision plays a key role in smart factories, where automated manufacturing lines will be able to self-adjust to maximize quality, output, and profitability.
Edge Impulse has developed a new technique named “Faster Objects, More Objects” (FOMO) that performs constrained object detection on low-power devices, such as microcontrollers. Attend for a chance to win a Nicla Vision board!