Artificial Intelligence at the Edge
Embedded AI Development Solutions for the Future of Intelligent Applications
Artificial Intelligence (AI) is Here!
Artificial Intelligence (AI) is transforming industries today, powering everything from smart manufacturing and healthcare to automotive, logistics, and environmental monitoring. With the rise of edge AI, machine learning, and real-time analytics, organizations can unlock new opportunities to improve efficiency, reduce costs, and accelerate innovation.
At Farnell, we provide the essential building blocks to turn ideas into reality. Our AI development platforms, single-board computers, sensors, and embedded solutions from leading global suppliers enable engineers and developers to create advanced applications in computer vision, voice recognition, gesture control, and condition monitoring.
Whether you are developing predictive maintenance systems, autonomous devices, or next-generation IoT solutions, Farnell is your trusted partner for AI hardware, embedded platforms, and development tools. With access to the latest edge AI technologies and components, we help you accelerate time-to-market, scale innovation, and bring intelligence to every application. At the cutting edge of innovation, it’s not just about what AI can do - it's about what you can do with AI!
Unleashing the AI Revolution
Discover how AI enhances complex production processes, boosts efficiency, and reduces errors across diverse environments. This eBook simplifies AI with a step-by-step approach to understanding and integrating various AI technologies.
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Raspberry Pi Solutions Kits
Master the power of AI with Raspberry Pi! From facial recognition to cutting-edge computer vision, unleash the power of Raspberry Pi for your personal and professional AI projects
Download NowAI Applications
Image Classification
Enable real-time computer vision, object detection, and facial recognition with our AI-ready hardware and embedded platforms, driving smarter, vision-based applications at the edge
Audio Recognition
Power voice recognition, sound detection, and speech-driven AI applications with our embedded platforms and AI hardware, delivering smarter, hands-free user experiences
Gesture Recognition
Enable motion tracking, gesture control, and intuitive interaction with our AI development kits and sensors, supporting natural, touch-free user engagement
Condition Monitoring
Drive predictive maintenance, anomaly detection, and real-time analytics with our embedded AI platforms, reducing downtime and improving operational efficiency
Reference Designs
Audio Recognition
Cost-effective integrated AWS IoT qualified Alexa voice control solutions
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End-to-End Solutions
AI Platforms
Featured Categories
Single Board Computers and Devkits
Image Sensors and Imaging Devices
Featured Resources
article
AI at the Edge New Paradigm for IoT Implementations
Explore how Edge AI is transforming IoT by enhancing data processing, security, and operational efficiency. Delve into its components, benefits, and the evolving hardware ecosystem driving this revolution
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Next-Gen Living : How AI Is Transforming Everyday Life
Discover how AI is transforming daily life with smart homes, health monitoring & security. Learn about Edge AI technology that's making homes smarter & lives easier
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Advanced ML for MEMS Sensors: Enhancing the Accuracy, Performance, and Power consumption
Discover how MEMS sensors with AI reduce data transfer and power use, offering sustainable solutions and transforming consumer and industrial applications with precision
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Demystifying AI and ML with Embedded Devices
Explore advanced embedded technology enables more processing-powerful imaging devices, while AI and ML provide real-time recognition algorithms, benefiting public safety imaging systems for identifying unsafe activities
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The Modern Challenges of Image and Facial Recognition
Read about at how image processing is becoming more sophisticated and learn how AI is facilitating tiny, competitive edge-based solutions
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Evolution of voice, speech, and sound recognition
Learn about how AI and Edge technology are helping the evolution of voice recognition, speech recognition and sound recognition systems
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Latest Trends in Artificial Intelligence
Explore how AI is transforming industries like automation, healthcare, enterprise, robotics, facial recognition, and IoT, demonstrating promising trends and driving future technologies
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How to increase embedded AI processing for autonomous systems
Learn how to boost embedded AI processing for autonomous systems with Renesas DRP-AI technology, enhancing real-time AI inference, power efficiency, and edge device performance.
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Arduino Nicla Vision: The compact powerhouse for computer vision
Unlock the power of Edge AI with Arduino Nicla Vision - detect visual anomalies, optimize resource use, and enable predictive maintenance for cost savings and sustainability
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How to Implement Convolutional Neural Network on STM32 and Arduino
Do you want to run Convolutional Neural Network) on your Arduino and STM32 boards? Learn how to do create and train the model without pain
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The Benefits of Using Sensors and AI in HVAC Systems
Discover the ways in which sensors and artificial intelligence can improve the comfort, indoor air quality, and energy efficiency
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Robotics and AI Integration: Transforming Industrial Automation
Discover how the integration between robotics and artificial intelligence reshapes industries, challenges norms, and propels the future
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Integrating Single Board Computers for Machine Vision in Industrial Automation
Explore the power of Single Board Computers (SBCs) in revolutionizing industrial automation through Machine Vision. Enhance efficiency, reduce downtime, and embrace Industry 4.0 with our insightful guide
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AI and IoT: The future of intelligent transportation
Explore the future of Intelligent Transportation System using ML to improve traffic efficiency and commuter comfort
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How to do Image Classification Using ADI MAX78000
Learn how to classify images with the MAX78000 low-power Convolutional Neural Network accelerator
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Machine vision: Revolutionizing quality control in industrial automation
Discover machine vision's role in automating quality control, boosting precision, and achieving manufacturing excellence
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Unleashing the AI revolution: From Algorithms to Real-World Impact
Discover how AI enhances complex production processes, boosts efficiency, and reduces errors across diverse environments. This eBook simplifies AI with a step-by-step approach to understanding and integrating various AI technologies
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Are You Ready for the AIoT Era?
Read about the true context of AI and IoT, its advanced data analytics capabilities and methods, how the future of AI is shaping and tools and platforms to get you started
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Smart Automotive with Neural Networks
Learn how to implement image classification for Road Sign Detection and Animal Identification using Neural Networks
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Smart Maintenance: The Evolution of Predictive Maintenance (PdM)
To stay ahead and reduce downtime, learn about the predictive maintenance strategy supported by cutting-edge technologies
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Artificial Intelligence FAQ
Find in-depth answers to the top asked questions regarding Artificial Intelligence
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Precise Machine Control Using Voice Command and Edge Computing
Desc: Explore how AI voice commands and edge computing are transforming industrial automation with speed, precision, and safety.
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Precision in Sight: How AI-powered visual inspection improves industrial quality control
Explore how AI-based visual inspection transforms quality control, reducing errors, cutting costs, and ensuring superior product standards across industries.
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Staying ahead in the era of AI : Accelerate your journey into intelligence
Explore how multi-core MCUs, MPUs, and AI accelerators power intelligent, real-time edge AI in embedded, industrial, and smart device applications.
Learn MoreBlogs
- How AI Chips are Changing the Shape of the Cloud
- Unlock the Power of AMD Instinct™ GPU Accelerators Across Cloud Providers
- Generative AI for Embedded Applications
- Hardware Conversion of Convolutional Neural Networks: What Is Machine Learning?—Part 3
- Enabling the Future of AI: Introducing AMD ROCm 7 and AMD Developer Cloud
- Introducing the FRDM i.MX 91 Development Board: A Gateway to Industrial and IoT Innovation
- Matter for the AIoT: The Developer’s Guide to Connecting AI-Enabled IoT Devices
- Introducing RW61X: A Wi-Fi 6 Tri-Radio in a Secure i.MX RT MCU
- i.MX RT700 Crossover MCU Designed for the AI-Enabled Edge
- Machine Learning Goes Mainstream - NXP’s eIQ® ML Software Development Environment Just Got Smarter and Friendlier
- Accelerate Your Embedded AI Development with Reality AI Utilities — explores toolkit for end-to-end edge‑AI on Renesas boards
- Simplifying Vision AI Development with Renesas AI Model Deployer — end-to-end vision AI workflow using NVIDIA TAO
Webinar
- MachineQ and MuRata help Simplify your IoT Journey
- STM32H7 series dual-core microcontroller - Webinar replay
- Develop TrustZone enabled applications on STM32L5 ARM MCUs with STM32CubeIDE - Webinar Replay
- Motor Control Part4 - 1 Low Voltage portfolio
- Renesas RA6M5 + DSP Concepts' TalkTo Voice Reference Design
- Cyberon DSpotter Voice User Interface Solutions
- Voice User Interface Solution for RA MCUs
- Getting Started with the Renesas Voice UI Solution Kits
- ML on 32 bit MCUs - Gesture Recognition with SensiML
- NXP EdgeReady Turnkey ML Solutions for 2D and 3D Face Recognition and Voice Control on i.MX RT Family MCUs
- MCU-Based Solutions for Voice Control and Face Recognition
Whitepapers
- AI Engines and their Applications
- Xilinx Adaptive Compute Acceleration Platform: Versal™ Architecture
- NXP Ethical Framework for Artificial Intelligence
- Artificial Intelligence of Things
- Next Generation Highly Power-Efficient AI Accelerator (DRP-AI3): 10x Faster Embedded Processing in Advanced AI for Autonomous Systems
- Image Processing for Vision AI
- Simplifying AI Deployment from the Cloud to Edge and Endpoint
- Introduction to Versal Adaptive SoC
- Voice Commands for Bluetooth Low Energy Remote Controls
- Deploy Generative AI at the Edge Securely and Efficiently: A Methodology for Optimized LLMs on Microprocessors
- Bringing more intelligence to the industrial edge
- Capacitive MEMS accelerometer for condition monitoring
App Notes
- AN14276: Voice Seeker and VoiceSpot for i.MX
- Developing Power-optimized Applications on the MAX78000
- Inferencing Deep Learning on Cortex M0/M0+ with the eIQTM Glow Inference Engine
- Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs
- AN4592: PolarFire FPGA Dynamic Reconfiguration Interface Application Note
- AN4591: PolarFire FPGA Implementing Data Security Using User Cryptoprocessor Application Note
- AN5667: PolarFire FPGA Transceiver Signal Integrity Application Note (Earlier AC483)
- AN4597: PolarFire FPGA PCIe Endpoint DDR3L and DDR4 Memory Controller Data Plane Application Note (Earlier DG0756)
- RA4M2 Voice Recognition ECM Demo Board
- AN-B-095: DA1470x Voice Activation Detection Unit
- RA6M1 Group Voice Recognition Demo Board
- Enable Touch 2-dimension Gesture Recognition based on KL16Z MCU
Articles
- Adding Voice Control to Your Products Just Got Easier
- Open-Ear Audio: Enhanced, High Quality Solutions for AR/VR Applications
- Emerging Automotive In-Cabin Sensing Solutions for Safety and Comfort
- Hardware Conversion of Convolutional Neural Networks: What Is Machine Learning?
- A Complete Guide to Designing Your Smart Wireless Industrial Sensor
- Enabling Robust Wired Condition-Based Monitoring for Industry 4.0 Part 1
- Why MEMS Accelerometers Are Becoming the Designer’s Best Choice for CbM Applications
- A Better Solution for Designing Automotive Infotainment Gesture Controls
- Accelerometer and Gyroscopes Sensors: Operation, Sensing, and Applications
- Gesture Sensor EV Kit Serial API
- Face Identification Using MAX78000
- Medical Image Processing: From Formation to Interpretation
User Guide
- AIK‑RA6M3 User’s Manual – Multimodal AI/ML hardware platform info
- AIK-RA6M3 – Quick Start Guide
- Person Access System (PAS) for AIK-RA6M3 – Quick Start Guide
- i.MX 8MDQLQ Hardware Developer’s Guide
- Getting Started with the MCIMX8M-EVK
- Quick Start Guide i.MX 8M Quad Evaluation Kit
- i.MX 8MDQLQ EVK Board Hardware User's Guide
- SAMD21 Fan State Condition Monitoring Demo
- SAMD21 ML Kit Gesture Recognition
- Hello FPGA Libero Design User Guide (UG0891) – FPGA-driven image/AI apps kit
- MAX78000CAM02 User Guide – MAX78000 Vision-AI MCU board
- MAX78002 EV Kit User Guide – AI-enabled MCU evaluation kit
Videos
Gesture Tracking on Thermostat
Graphics, Artificial Intelligence and Voice UI Applications with the STM32H7A3/B3 - W
Voice Enablement Made Simple with NXP’s Voice Intelligent Technology
Low-Power Voice UI Enablement on i.MX MPUs
Voice-Controlled AI Motor Drive Solution
ML Enabled Precision Instrumentation
Deploy your AI application on STM32 MPUs with STM32 AI tools
Hands-On Workshop: Deploying Machine Learning using i.MX RT Crossover MCUs
What is Artificial Intelligence (AI)?
Artificial Intelligence is an all encompassing concept that incorporates human intelligence into machines. Going a step further into AI comes machine learning (ML), a subset of AI.
It uses data and experiences to automatically tune algorithms. By going even further, we find Deep Learning (DL), a subset of ML which utilises deep neural networks to simulate the learning process.
AI/ML Workflow
Further Resources
Calculators & Conversion Charts
Selection Guides and Catalogues
Essential Learning Modules
Tech Spotlights
Design Resources
Engineering Glossary
Technical Support
Parts Finder Tools
