Max Sbabo, Senior Application Engineer at Untether AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Sbabo demonstrates his company’s its AI inference technology with AI accelerator cards that leverage the capabilities of the runAI family of ICs in a PCI-Express form factor. This demonstration […]
Andy Ballester, Co-Founder of EyePop.ai, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Ballester demonstrates the ease and accessibility of his company’s AI platform. Tailored for startups without machine learning teams, this demo showcases how to create a custom computer vision endpoint that can be
EyePop.ai Demonstration of Effortless AI Integration Read More +
Shay Harel, field application engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Harel demonstrates the capabilities of his company’s M4.51 sensor module using a simple Python script that leverages Inuitive’s API for real-time object detection. The M4.51 sensor module, based on the
Jessica Jones, Vice President and Chief Marketing Officer at Gigantor Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Jones demonstrates her company’s GigaMAACS’ Synthetic Scaler with a live facial tracking demo that enables real-time, unlimited objection detection at all ranges while only requiring training
Peter Fenn, Director of the Advanced Applications Group at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Fenn demonstrates the new QCS6940 SMARC SOM and Vision AI Development Kit from Avnet Embedded. An example vision AI application, including two cameras and four simultaneous vision
Monica Houston, AI Manager of the Advanced Applications Group at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Houston demonstrates a smart city application based on her company’s RZBoard single-board computer. Using embedded vision and combination of edge AI and cloud connectivity, the demo
Brian Lin, Field Sales Engineer at Advantech, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Lin demonstrates his company’s edge AI vision solution embedded with NVIDIA Jetson platforms. Lin demonstrates how Advantech’s industrial cameras, equipped with Overview’s deep-learning software, effortlessly capture even the tiniest defects
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Sunil Chhugani, Director of Business Development at Mediatek, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Shhugani demonstrates his company’s Genio IoT Development Platform, as well as partners’ products based on MediaTek SoCs. Specific demos include: Dual Display on Ezurio Tungsten700 SMARC platform: Qt application
MediaTek Demonstrations of Its Genio IoT Development Platform and Partners’ Products Read More +
Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates the MAX78000 AI microcontroller performing action recognition using a temporal convolutional network (TCN). Using a TCN-based model, the MAX78000 accurately recognizes a
Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates visual servoing in a robotic arm enabled by the MAX78000 AI microcontroller. The MAX78000 is an Arm-M4F microcontroller with a hardware-based convolutional
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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
