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Embedded vision Reference Designs
Autonomous driving, surgical robots, automated factories, the latest innovations depend on sophisticated embedded vision technology. Explore our resources to stay up to date with embedded vision trends and technology.
Computer Vision systems can automatically take readings from analog meters and displays, eliminating the need for manual reading and recording.
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The Avnet S32V development kit is an Arm Cortex-A53 quad core based development platform for vision, machine learning, and sensor fusion applications.
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The Avnet Multi-Camera FMC module supports up to four (4) high definition camera modules using GMSL (Gigabit Multimedia Serial Link) technology.
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The Smart Shot Camera platform integrates everything you need to put smart image capture at the edge of your network.
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The X-NUCLEO-IDB04A1 is a Bluetooth low energy evaluation board that allows expansion of the STM32 Nucleo boards.
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This design is a proof-of-concept device which can count passengers in real-time at high speed and can give an alert if the number of people in an elevator is above a threshold.
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The FMC-HDMI-CAM FMC module provides high-definition video interfaces for AMD FMC-enabled baseboards.
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Provides a platform for rapid evaluation of NXP's i.MX 8MQuad, i.MX 8MDual and i.MX 8MQuadLite Applications Processors, utilizing 2 to 4x Arm Cortex-A53s and 1x Cortex-M4 cores.
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Light Detection and Ranging (LiDAR) is a distance measurement methodology that uses pulsed laser light reflection to make three-dimensional images of a target.
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Reference designbased on NXPs Technology for a mission computer (companion computer), for use in mobile robotics using ROS2 and similar applications such as ground stations and smart cameras.
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The Smart Application Blueprint for Rapid Engineering (SABRE) board for smart devices provides the development kit and software to evaluate NXP's i.MX 6 series of applications processors.
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Generic security camera block diagram highlighting a wide range of EPCOS and TDK brand components suited for the design and development of security applications.
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Arduino Nicla Vision board can be tasked with recognizing different types of containers and sending the resulting data to the cloud automatically.
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The UltraZed-EV SOM on-board dual system memory, high-speed transceivers, Ethernet, USB, and configuration memory provides an ideal platform for embedded video processing systems.
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Highly flexible, rugged, System-On-Module (SOM) based on the AMD Zynq UltraScale+ MPSoC.
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This kit enables designers to jumpstart designs for embedded vision applications such as surveillance, ADAS, machine vision, Augmented Reality (AR), drones and medical imaging.
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