Videos

Microchip Technology Inc. Demonstration of Low-Power Facial Recognition Using the PolarFire® SoC FPGA

Nav Gupta, FPGA Application Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gupta demonstrates harnessing the power and thermal efficiency of the PolarFire® SoC FPGA to develop low-power inferencing solutions. This demo showcases the versatility of the SoC with facial […]

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Hailo Demonstration of Its Hailo-15 AI Vision Processor

James Shields, Sales Director at Hailo, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Shields demonstrates the capabilities of his company’s top performing Hailo-15 vision processor (VPU) for smart cameras. Shields shows Hailo-15 integrated in various form factors (SOM, SIP and SoC) along with a

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Hailo Demonstration of Video Management Systems

D.C. Smalley, General Manager for North America at Hailo, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Smalley demonstrates several example video management systems (VMSs). Smalley presents various powerful VMS solutions for public safety and security. The live demos implement contrastive language-image pretraining (CLIP) model-based

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Chips&Media Demonstration of WAVE6 and WAVE6 Gen2+, Its Powerful Video Codecs

Andy Lee, Vice President of US Marketing at Chips&Media, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Lee demonstrates his company’s latest video codec products and highlights its video codec roadmap. WAVE6 series, Chips&Media’s newest solution, delivers an AV1 encoder and additionally offers image quality

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Chips&Media Demonstration of CMNP, Its Application-specific NPU for Image and Video

Andy Lee, Vice President of US Marketing at Chips&Media, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Lee demonstrates his company’s neural processor, CMNP, which enhances image quality. CMNP boasts two key applications: super resolution and noise reduction. When these two primary applications are combined

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VeriSilicon Demonstration of Its Secure, Low-power Machine Learning Solutions

Brian Murray, SoC Architect at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2024 Embedded Vision Summit. Specifically, Murray demonstrates the collaborative project Open Se Cura. This open-source platform combines machine learning and secure enclave technology to ensure data safety during processing. VeriSilicon has integrated

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VeriSilicon Demonstration of Its End-to-end Video Transcoding Semiconductor Solutions

Halim Theny, Vice President of Product Engineering at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Theny demonstrates an end-to-end video transcoding solution. VeriSilicon supplies IP technology for semiconductor IC companies, offering support from chip design to production testing. This demo features a chip

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VeriSilicon Demonstration of Its Comprehensive Silicon Solution and Edge AI Applications

Halim Theny, Vice President of Product Engineering at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2024 Embedded Vision Summit. Specifically, Theny demonstrates his company’s comprehensive semiconductor technology solutions, providing IP technology for silicon makers to build advanced ICs. The demonstrated chip features an NPU

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NXP Semiconductors Demonstration of Smart Fitness with the i.MX 93 Apps Processor

Manish Bajaj, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Bajaj demonstrates how the i.MX 93 applications processor can run machine learning applications with an Arm Ethos U-65 microNPU to accelerate inference on two simultaneously running deep learning vision- based

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NXP Semiconductors Demonstration of Quad Camera Object Detection with the i.MX 95 Apps Processor

Manish Bajaj, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Bajaj demonstrates the features of the new i.MX 95 applications processor that make it a great edge AI platform. The SoC’s integrated eIQ N3-1024S Neutron NPU implements robust AI inference

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