Enabling Technologies

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

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

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 […]

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

“Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver,” a Presentation from Allied Vision

Algorithms & Models, Allied Vision, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Sebastian Günther, Host Systems Competence Center Lead at Allied Vision Technologies, presents the "Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver" tutorial at the May 2019 Embedded Vision Summit. Camera device drivers are a critical component for all embedded vision systems, providing an essential interface between the camera and

“Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver,” a Presentation from Allied Vision Read More +

“An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs,” a Presentation from Xperi

Algorithms & Models, Processors, Software, Summit 2019, Tools, Videos, Xperi /

Petronel Bigioi, CTO for Imaging at Xperi, presents the "An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs" tutorial at the May 2019 Embedded Vision Summit. Neural network encryption is a useful method to secure a company’s IP. This presentation focuses on the design details of an ultra-low-power, scalable neural network core capable of performing

“An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs,” a Presentation from Xperi Read More +

“Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers,” a Presentation from Google

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

Pete Warden, Staff Research Engineer and TensorFlow Lite development lead at Google, presents the "Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers" tutorial at the May 2019 Embedded Vision Summit. Is it possible to deploy deep learning models on low-cost, low-power microcontrollers? While it may be surprising, the answer is a definite “yes”!

“Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers,” a Presentation from Google Read More +

“Rethinking Deep Learning: Neural Compute Stick,” a Presentation from Intel

Algorithms & Models, Intel, Processors, Software, Summit 2018, Tools, Videos /

Ashish Pai, Senior Director in the Neural Compute Program at Intel, presents the “Rethinking Deep Learning: Neural Compute Stick” tutorial at the May 2018 Embedded Vision Summit. In July 2017, Intel released the Movidius Neural Compute Stick (NCS)–a first-of-its-kind USB-based device for rapid prototyping and development of inference applications at the edge. NCS is powered

“Rethinking Deep Learning: Neural Compute Stick,” a Presentation from Intel Read More +

“Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms,” a Presentation from Qualcomm

Algorithms & Models, Processors, Qualcomm, Software, Summit 2018, Tools, Videos /

Sahil Bansal, Senior Director of Product Management at Qualcomm, presents the “Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms” tutorial at the May 2018 Embedded Vision Summit. Advancements in machine learning are making it possible to equip devices such as connected cameras, robots, drones and smart home solutions with improved on-device vision

“Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms,” a Presentation from Qualcomm Read More +

“Energy-efficient Processors Enable the Era of Intelligent Devices,” a Presentation from NovuMind

Algorithms & Models, NovuMind, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Ren Wu, Founder and CEO of NovuMind, presents the “Energy-efficient Processors Enable the Era of Intelligent Devices” tutorial at the May 2018 Embedded Vision Summit. Artificial intelligence is making waves and headlines. New algorithms, applications and companies are emerging fast. Deep-learning-based systems, trained with massive amounts of data using supercomputers, are more capable than ever

“Energy-efficient Processors Enable the Era of Intelligent Devices,” a Presentation from NovuMind Read More +

“NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI,” a Presentation from NovuMind

Algorithms & Models, NovuMind, Processors, Software, Summit 2018, Tools, Videos /

Miao (Mike) Li, Vice President of IC Engineering at NovuMind, presents the “NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI” tutorial at the May 2018 Embedded Vision Summit. Deep convolutional neural networks (DCNNs) are driving explosive growth of the artificial intelligence industry. Effective performance, energy efficiency and accuracy are all significant challenges in

“NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI,” a Presentation from NovuMind Read More +

“The Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI,” a Presentation from Horizon Robotics

Algorithms & Models, Horizon Robotics, Processors, Software, Summit 2018, Tools, Videos /

Kai Yu, Founder and CEO of Horizon Robotics, presents the “Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI” tutorial at the May 2018 Embedded Vision Summit. As the nature of computation changes from logic to artificial intelligence, there’s a revolution happening at the edge. A new type of processor is required for this post-Moore’s-law

“The Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI,” a Presentation from Horizon Robotics Read More +

“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm

Algorithms & Models, Arm, Processors, Software, Summit 2018, Tools, Videos /

Vikas Chandra, Senior Principal Engineer and Director of Machine Learning at Arm, presents the “Deep Learning on Arm Cortex-M Microcontrollers” tutorial at the May 2018 Embedded Vision Summit. Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a

“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm Read More +

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.

Pages

Topics

Contact

Address

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

Phone
Phone: +1 (925) 954-1411
Scroll to Top