Tools

“Performance Analysis for Optimizing Embedded Deep Learning Inference Software,” a Presentation from Arm

Gian Marco Iodice, Staff Compute Performance Software Engineer at Arm, presents the "Performance Analysis for Optimizing Embedded Deep Learning Inference Software" tutorial at the May 2019 Embedded Vision Summit. Deep learning on embedded devices is currently enjoying significant success in a number of vision applications—particularly smartphones, where increasingly prevalent AI cameras are able to enhance […]

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“Automotive Vision Systems — Seeing the Way Forward,” a Presentation from Strategy Analytics

Ian Riches, Executive Director for Global Automotive Practice at Strategy Analytics, presents the "Automotive Vision Systems— Seeing the Way Forward" tutorial at the May 2019 Embedded Vision Summit. It was not long ago that cameras were a rarity on all but luxury cars. In 2018, as many automotive cameras were shipped as were vehicles! Riches'

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“Shifts in the Automated Driving Industry,” a Presentation from AImotive

László Kishonti, CEO of AImotive, presents the "Shifts in the Automated Driving Industry" tutorial at the May 2019 Embedded Vision Summit. 2018 will have a lasting effect on the self-driving industry, as key stakeholders have turned from the unattainable goal of full autonomy by 2021 to more realistic development and productization roadmaps. This will in

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“AI+: Combining AI and Other Critical Functions Using Intel FPGAs,” a Presentation from Intel

Ronak Shah, Director of AI Marketing Strategy at Intel's Programmable Solutions Group, presents the "AI+: Combining AI and Other Critical Functions Using Intel FPGAs" tutorial at the May 2019 Embedded Vision Summit. AI is increasingly being deployed in vision applications, and most of these applications require other functionality in addition to AI. For example, a

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“Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications,” a Presentation from Kudan

John Williams, CTO and co-founder of Kudan, presents the "Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications" tutorial at the May 2019 Embedded Vision Summit. SLAM (simultaneous localization and mapping) is an essential technology for any device that requires an understanding of its location and orientation in the physical world. Kudan is the only

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“AI Is Moving to the Edge — What’s the Impact on the Semiconductor Industry?,” a Presentation from Yole Développement

Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit. Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can

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“Processor Options for Edge Inference: Options and Trade-offs,” a Presentation from Micron Technology

Raj Talluri, Senior Vice President and General Manager of the Mobile Business Unit at Micron Technology, presents the "Processor Options for Edge Inference: Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. Thanks to rapid advances in neural network algorithms, we’ve made tremendous progress in developing robust solutions for numerous computer vision tasks.

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May 2019 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Bo Zhu, CTO and Co-founder of BlinkAI Technologies, Dwight Linden, COO and Co-founder of Entropix, Austin Miller, Robotics Engineer at Robotic Materials, Ravi Sahu, CEO of Strayos, and Barbara Rosario, CTO and Co-founder of Vyrill, deliver their Vision Tank finalist presentations at the May 2019 Embedded Vision Summit. The Vision Tank, a unique spin on

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“Accelerating Smart Camera Time to Market Using a System-on-module Approach,” a Presentation from Teknique

Ian Billing, Quality Assurance Manager at Teknique, presents the "Accelerating Smart Camera Time to Market Using a System-on-module Approach" tutorial at the May 2019 Embedded Vision Summit. Bringing a vision system product to market can be costly and time-consuming. Teknique’s Oclea System-on-Module (SoM) is an off-the-shelf, integrated camera module that enables device makers to streamline

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“Methods for Creating Efficient Convolutional Neural Networks,” a Presentation from Xnor.ai

Mohammad Rastegari, Chief Technology Officer at Xnor.ai, presents the "Methods for Creating Efficient Convolutional Neural Networks" tutorial at the May 2019 Embedded Vision Summit. In the past few years, convolutional neural networks (CNNs) have revolutionized several application domains in AI and computer vision. The biggest challenge with state-of-the-art CNNs is the massive compute demands that

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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