Demonstration of Object Detection and Tracking on a MCU
This object detection and tracking demonstration showcases the DeepView Application Pack, developed by Au-Zone Technologies.
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NileCAM21_CUXVR: Full HD GMSL2 HDR Multi-camera Solution with LFM and 15m Cable
This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Reliable imaging in challenging lighting conditions is crucial for outdoor applications like surround-view systems, crewless ground vehicles, agriculture automation, and industrial vehicles. Such long-range applications need extended cable support cameras with high-speed video transmission and synchronized
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See3CAM_160: 16 Mpixel Color Autofocus USB 3.1 Camera with Digital Zoom
This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. High resolution autofocus cameras have been reinventing how high-quality images are captured and used. They are extremely popular in applications like industrial rugged tablets, telepresence, document scanners/OCR readers, skin scanners, access control systems, etc. Many such
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On-demand Webinar Describes How to Rapidly Develop Scalable AIoT Applications
Now available for on-demand viewing is Texas Instruments’ recent webinar with Amazon Web Services, “Quickly Build Scalable AIoT Applications with TI Processors and AWS.” From the event page: In this episode of Process This, we are joined by Ashok Bhaskar of Amazon Web Services to talk about how to easily bring vision-based AI and IoT
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eCAM82_USB: 4K Ultra Low-light USB Camera
This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Many applications need to capture high-quality images with high sensitivity in visible and near-infrared regions. This capability is crucial for indoor/outdoor applications like retail kiosks, access control systems, telepresence robots, document readers, and shelf-monitoring. e-con Systems’
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Demonstration of Pedestrian Detection and Classification
This pedestrian detection and classification demonstration showcases the DeepView Model Pack and Maivin AI Vision Starter Kit, both developed by Au-Zone Technologies. The Maivin AI Vision Starter Kit is a modular AI smart camera platform built on NXP’s i.MX8MPlus applications processors and production-grade hardware and software components to enable rapid prototyping and field deployment of
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Don’t Take Activation Functions for Granted
In this video, Martin Isaksson, the CEO and co-founder of PerceptiLabs, explains the importance of the activation function in determining a machine learning model’s performance. For more information, visit https://www.perceptilabs.com Read our blog: https://blog.perceptilabs.com Leave your questions and feedback: https://forum.perceptilabs.com Join our friendly community: https://perceptilabs-com.slack.com/join/shared_invite/zt-mxohtpkm-lQI_0nT~tBeUd2RtZIfe4g#/shared-invite/email
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Getting Started with Maxim Integrated’s (Analog Devices’) MAX78000EVKIT
The MAX78000EVKIT is well suited for getting started in the world of machine learning. In this video, Shawn Brooks, applications engineer at Maxim Integrated (now part of Analog Devices), shows how to set up the system and run the sample applications to begin using the MAX78000 low-power artificial intelligence microcontroller.
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e-CAM130_CURB: 13 Mpixel Fixed-focus 4K Camera for the Raspberry Pi 4
This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The Raspberry Pi 4 is one of the most common platforms used for camera evaluation and prototyping. However, unlocking the true vision potential of Raspberry Pi 4 requires the ability to select the right camera. e-CAM130_CURB
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The SK-TDA4VM, an 8 TOPS Deep Learning Starter Kit for Edge AI Application Development
Bring smart cameras, robots and intelligent machines to life with Texas Instruments’ TDA4VM processor starter kit. With a fast setup process and an assortment of foundational demos and tutorials, you can start prototyping a vision-based application in less than an hour. The kit enables 8 TOPS of deep learning performance and hardware-accelerated edge AI processing
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