APPLICATIONS

“Machine Learning at the Edge in Smart Factories Using TI Sitara Processors,” a Presentation from Texas Instruments

Algorithms & Models, Industrial Vision (Computer Vision), Processors, Sensors and Cameras, Software, Summit 2019, Texas Instruments, Tools, Videos /

Manisha Agrawal, Software Applications Engineer at Texas Instruments, presents the “Machine Learning at the Edge in Smart Factories Using TI Sitara Processors” tutorial at the May 2019 Embedded Vision Summit. Whether it’s called “Industry 4.0,” “industrial internet of things” (IIOT) or “smart factories,” a fundamental shift is underway in manufacturing: factories are becoming smarter. This […]

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“Improving the Safety and Performance of Automated Vehicles Through Precision Localization,” a Presentation from VSI Labs

Algorithms & Models, Automotive, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Phil Magney, founder of VSI Labs, presents the “Improving the Safety and Performance of Automated Vehicles Through Precision Localization” tutorial at the May 2019 Embedded Vision Summit. How does a self-driving car know where it is? Magney explains how autonomous vehicles localize themselves against their surroundings through the use of a variety of sensors along

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“Distance Estimation Solutions for ADAS and Automated Driving,” a Presentation from AImotive

AImotive, Algorithms & Models, Automotive, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Gergely Debreczeni, Chief Scientist at AImotive, presents the “Distance Estimation Solutions for ADAS and Automated Driving” tutorial at the May 2019 Embedded Vision Summit. Distance estimation is at the heart of automotive driver assistance systems (ADAS) and automated driving (AD). Simply stated, safe operation of vehicles requires robust distance estimation. Many different types of sensors

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“Can We Have Both Safety and Performance in AI for Autonomous Vehicles?,” a Presentation from Codeplay Software

Algorithms & Models, Automotive, Codeplay Software, Processors, Software, Summit 2019, Tools, Videos /

Andrew Richards, CEO and Co-founder of Codeplay Software, presents the “Can We Have Both Safety and Performance in AI for Autonomous Vehicles?” tutorial at the May 2019 Embedded Vision Summit. The need for ensuring safety in AI subsystems within autonomous vehicles is obvious. How to achieve it is not. Standard safety engineering tools are designed

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“DNN Challenges and Approaches for L4/L5 Autonomous Vehicles,” a Presentation from Graphcore

Algorithms & Models, Automotive, Graphcore, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Tom Wilson, Vice President of Automotive at Graphcore, presents the “DNN Challenges and Approaches for L4/L5 Autonomous Vehicles” tutorial at the May 2019 Embedded Vision Summit. The industry has made great strides in development of L4/L5 autonomous vehicles, but what’s available today falls far short of expectations set as recently as two to three years

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“Fundamentals of Monocular SLAM,” a Presentation from Cadence

Algorithms & Models, Cadence, Entertainment, Processors, Robotics, Software, Summit 2019, Tools, Videos /

Shrinivas Gadkari, Design Engineering Director at Cadence, presents the “Fundamentals of Monocular SLAM” tutorial at the May 2019 Embedded Vision Summit. Simultaneous Localization and Mapping (SLAM) refers to a class of algorithms that enables a device with one or more cameras and/or other sensors to create an accurate map of its surroundings, to determine the

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“Sensory Fusion for Scalable Indoor Navigation,” a Presentation from Brain Corp

Algorithms & Models, Industrial Vision (Computer Vision), Object Identification, Processors, Retail, Robotics, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Oleg Sinyavskiy, Director of Research and Development at Brain Corp, presents the “Sensory Fusion for Scalable Indoor Navigation” tutorial at the May 2019 Embedded Vision Summit. Indoor autonomous navigation requires using a variety of sensors in different modalities. Merging together RGB, depth, lidar and odometry data streams to achieve autonomous operation requires a fusion of

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“Applied Depth Sensing with Intel RealSense,” a Presentation from Intel

Algorithms & Models, Intel, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Sergey Dorodnicov, Software Architect at Intel, presents the “Applied Depth Sensing with Intel RealSense” tutorial at the May 2019 Embedded Vision Summit. As robust depth cameras become more affordable, many new products will benefit from true 3D vision. This presentation highlights the benefits of depth sensing for tasks such as autonomous navigation, collision avoidance and

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“Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time,” a Presentation from Sportlogiq

Algorithms & Models, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Processors, Software, Summit 2019, Tools, Videos /

Mehrsan Javan, CTO of Sportlogiq, presents the “Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time” tutorial at the May 2019 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this means designing a fully-automated, robust, end-to-end pipeline; from visual input,

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“Addressing Corner Cases in Embedded Computer Vision Applications,” a Presentation from Netradyne

Algorithms & Models, Automotive, Edge AI and Vision Alliance, Object Identification, Software, Summit 2019, Tools, Videos /

David Julian, CTO and Founder of Netradyne, presents the “Addressing Corner Cases in Embedded Computer Vision Applications” tutorial at the May 2019 Embedded Vision Summit. Many embedded vision applications require solutions that are robust in the face of very diverse real-world inputs. For example, in automotive applications, vision-based safety systems may encounter unusual configurations of

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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