Nandan Nayampally, Chief Marketing Officer at BrainChip, presents the “Enabling Ultra-low Power Edge Inference and On-device Learning with Akida” tutorial at the May 2023 Embedded Vision Summit. The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, Nayampally shows how BrainChip’s […]
Peter Fenn, Director of the Advanced Applications Group at Avnet, presents the “Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability” tutorial at the May 2023 Embedded Vision Summit. The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low
Stephen Su, Senior Product Manager at Arm, presents the “Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs” tutorial at the May 2023 Embedded Vision Summit. As enterprises and consumers increasingly adopt machine learning-enabled smart cameras, the expectations of these end users are becoming more sophisticated. In particular, smart camera users increasingly expect their
Gorkem Ulkar, Principal ML Engineer at Analog Devices, presents the “Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator” tutorial at the May 2023 Embedded Vision Summit. In this talk, Ulkar presents alternative and more efficient methods of processing raw camera images using neural network accelerators. He begins by introducing Analog Devices’ convolutional neural
Phil Lapsley, Co-founder and Vice President of BDTI, presents the “Five Things You Might Overlook on Your Next Vision-enabled Product Design” tutorial at the May 2023 Embedded Vision Summit. When you think about building a vision-enabled product, you probably think about things like: Which processor am I going to use? What neural network will it
Ruchi Upadhyay, Technical Marketing Manager at STMicroelectronics, presents the “Image Sensors to Enable Low-cost and Low-power Computer Vision Applications” tutorial at the May 2023 Embedded Vision Summit. Advances in image sensor capabilities, such as improved imaging in low-light conditions, coupled with reduced footprint and lower power consumption, are enabling more and more systems to incorporate
Judd Heape, VP of Product Management for Camera, Computer Vision and Video Technology at Qualcomm Technologies, presents the “Develop Next-gen Camera Apps Using Snapdragon Computer Vision Technologies” tutorial at the May 2023 Embedded Vision Summit. The Qualcomm Snapdragon mobile platform powers the world’s best smartphones, XR headsets, PCs, wearables, automobiles and IoT products. These devices
GRENOBLE, France, June 13, 2023 — Teledyne e2v, a Teledyne Technologies [NYSE: TDY] company and global innovator of imaging solutions, announces Snappy Wide, a new 8K wide aspect ratio CMOS image sensor designed specifically for logistics applications where larger conveyor belts are becoming increasingly common. A single Snappy Wide sensor can cover this large field
Vinesh Sukumar, Senior Director and Head of AI/ML Product Management at Qualcomm Technologies, presents the “Accelerating Newer ML Models Using the Qualcomm AI Stack” tutorial at the May 2023 Embedded Vision Summit. The Qualcomm AI Stack revolutionizes how Qualcomm thinks about AI software and provides the ultimate tool and user interface to enable ecosystem partners
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Amir Sherman, Global Semiconductor Business Development Director at Edge Impulse, presents the “Deploy Your Embedded Vision Solution on Any Processor Using Edge Impulse” tutorial at the May 2023 Embedded Vision Summit. Vision-based product developers have a vast array of processors to choose from. Unfortunately, each processor has its own unique tool chain. This makes it
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