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Artificial Intelligence Reference Designs
AI is changing the game. Whether you're working on systems that act intelligently in a specific domain (narrow AI), or in general (strong AI). Designing those systems is no easy task. Explore our resources to stay up to date in the world of AI trends, technology, and technical expertise.
This is an AI camera module that applies AI processing to various detection functions such as face detection, object detection, and line of sight detection.
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Computer Vision systems can automatically take readings from analog meters and displays, eliminating the need for manual reading and recording.
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RZBoard V2L is a power efficient, vision-AI accelerated development board in popular single board computer format with well supported expansion interfaces.
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The ZUBoard 1CG provides the flexibility and versatility for engineers to experiment with and learn the MD-AMD Zynq UltraScale+ architecture.
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This next generation motion camera solution enables edge AI object detection and classification with an optimized boot and power scheme to enable long battery life.
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Infineon's PSoC 6 AI Eval Kit is a hardware platform focused on Edge AI. It enables customers to evaluate the ML platform IMAGIMOB Studio, as well as ready to deploy ML models, and other SW.
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Reference Design of an easy-to-use platform for Voice User Interface (VUI) solutions based on the RA family of 32-bit MCUs.
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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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High-end vision AI MPU with Renesas' DRP-AI high-efficiency AI accelerator and OpenCV image processing accelerator enables real-time object detection for the next generation robotics.
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This scalable SMARC 2.1 System on Module (SoM) with artificial intelligence (AI) solution is based on the powerful Renesas RZ/G2 microprocessor family and a full power and timing tree.
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This scalable SMARC 2.1 System on Module (SoM) with artificial intelligence (AI) solution is based on the powerful Renesas RZ/G2 microprocessor family and a full power and timing tree.
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This describes how to identify when intruders are trying to force an entrance door by analyzing surroundings sounds using a Nicla Voice, Machine Learning Tools, and the Arduino IoT Cloud.
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Carrier card for the development platform for Kria K26 SOMs, the KV260 is built for advanced vision application development without requiring complex hardware design knowledge.
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The QorIQ LX2160A Reference Design Board implements the Layerscape LX2160A Multicore Communications Processor with sixteen Arm Cortex-A72 cores.
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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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This reference design features the second-generation of STM32MP2 microprocessors enabling secure, advanced edge AI in Industry 4.0.
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The STM32N6570-DK Discovery kit is a complete demonstration and development platform for the Arm Cortex core based STM32N657X0H3Q microcontroller, with ST Neural-ART accelerator embed.
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Renesas' Vision AI Gateway Solution efficiently handles vision information from multiple cameras and performs high-speed artificial intelligence (AI) processing.
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This solution allows for the acquisition, process, analysis and understanding of visual images.
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Control your device with voice commands using the Arduino Speech Recognition Engine, which is a technology field that captures, interprets, and computes a voice to transform it into text (TTS).
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