Intermediate


	"How to Choose a 3D Vision Technology," a Presentation from Carnegie Robotics Chris Osterwood of Carnegie Robotics delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.
	"Introduction to Optics for Embedded Vision," a Presentation from Edmund Optics Jessica Gehlhar of Edmund Optics delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.
	"Computer-vision-based 360-degree Video Systems: Architectures, Algorithms and Trade-offs," a Presentation from videantis Marco Jacobs of videantis delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Time of Flight Sensors: How Do I Choose Them and How Do I Integrate Them?," a Presentation from Basler Mark Hebbel of Basler delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.
	"Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles," a Presentation from NXP Semiconductors Ali Osman Ors of NXP Semiconductors delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Implementing an Optimized CNN Traffic Sign Recognition Solution," a Presentation from NXP Semiconductors and Au-Zone Technologies Rafal Malewski of NXP and Sébastien Taylor of Au-Zone deliver a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Deep Learning Beyond Cats and Cars: Developing a Real-life DNN-based Embedded Vision Product for Agriculture, Construction, Medical, or Retail," a Presentation from Luxoft Alexey Rybakov of Luxoft delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Training CNNs for Efficient Inference," a Presentation from Imagination Technologies Paul Brasnett of Imagination Technologies delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Designing Deep Neural Network Algorithms for Embedded Devices," a Presentation from Intel Minje Park of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP," a Presentation from Google Pete Warden of Google delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

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Intermediate

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