Machine Learning (ML) on the Edge for Speed and Security
Running Artificial Intelligence (AI) models on the edge involves processing data locally within embedded systems, which reduces latency and enhances privacy by minimizing data transmission to the cloud. This approach doesn’t require Internet connectivity and enables real-time decision making, making it a great solution for applications that require immediate responses and high reliability.
Microchip Partners with Ceva to Enable AI Acceleration
“Collaborating with Ceva enables us to bring the full power of AI to our products, enabling richer, faster and more intelligent experiences for our customers.”
-Mark Reiten, Corporate Vice President of Microchip's Edge AI Business Unit
ML Inference Applications
Embedded Vision
Smart embedded vision technology enhances quality and productivity in factories, enables faster and more accurate medical diagnoses through machine assistance and provides granular, real-time monitoring and response for improved surveillance and security.
Human Machine Interface
Integrate local processing for voice interactive machines seamlessly with real-time, interactive gesture recognition to create a more responsive and intuitive smart HMI.
Sensor Analytics
Sensor systems can detect aging and environment-driven degradation, predict and prevent system failures and provide early warning for hazardous leaks to ensure optimal safety and efficiency.
Featured Reference Design: Motor Control AI/ML Predictive Maintenance Demonstration Application
Using the MPLAB® Machine Learning (ML) Development Suite and the dsPIC® DSC LVMC motor control board, this reference design demonstrates predictive maintenance for motors. It is based on a classification model to determine whether the operational state of a motor is in normal condition or experiencing anomalies such as unbalanced load and a broken bearing by monitoring the Iq current of the motor. The key features include:
- Real-time data pipeline: Extracts data in real-time on the dsPIC DSC LVMC motor control board
- AutoML model training: Utilizes the AutoML feature of the MPLAB ML Development Suite to train a classification model
- Model performance evaluation: Evaluates model performance within the MPLAB ML Development Suite environment
- Knowledge Pack conversion: Converts the trained model into a Knowledge Pack that can be tested on the dsPIC DSC LVMC motor control board
More Solutions and Reference Designs
Coffee Type Detection Solution
Using AI to Detect Different Types of Coffee
We built a system with gas sensors and our PIC32CX microcontroller (MCU) that can classify three brands of coffee. This design can be used in food industry, industrial and healthcare applications.
Load Disaggregation Solution
Machine Learning-Based Load Disaggregation Solution
This demo showcases an efficient implementation of load disaggregation on an embedded microcontroller (MCU) to achieve the desired functionality with minimal CPU time and memory usage. This represents a key value-add for designers who are looking for optimal performance from our System-on-Chip (SoC) solutions for smart e-Metering applications.
Object Detection and Counting
Truck Loading Bay Monitoring Demo
The truck loading bay monitoring demo is an AI/ML demo based on a Faster Objects, More Objects (FOMO) object detection architecture.
Motion Surveillance
Rapidly Prototype With This Demo Application
Our motion surveillance demo application detects motion in front of an Arducam camera module using the motion-sensing PIR Click board™.
Gesture Recognition
Interpret and Respond to Human Gestures
This demo project outlines the process of data collection, transmission to the ML Model Builder, creation of a customized gesture recognition model for precise data classification and deployment onto the DSC using MPLAB ML Development Suite.
Sound Event Detection
Monitor Motor Sounds to Detect Anomalies
This tutorial will guide you through the process of building a vacuum cleaner sound recognizer with Edge Impulse and deploying it to the Microchip Curiosity Ultra development board.
PolarFire® FPGA Ethernet Sensor Bridge for the NVIDIA® Holoscan Software Development Kit (SDK)
The NVIDIA Holoscan platform provides hardware and software components to build streaming AI pipelines in edge and cloud AI applications such as industrial cameras, high-performance edge computers and medical devices. The hardware platform consists of a PolarFire FPGA Ethernet Sensor Bridge and NVIDIA Jetson™ AGX Orin™ and IGX Orin™ developer kit AI processing GPU platforms.
Deploy Your Models on Our Silicon Platforms
Whether you want to build your own model or bring your own, we have options to help you deploy your models on our MCUs, MPUs and FPGAs.
MPLAB® ML Development Suite
Build Your Own Model
Our MPLAB® ML Development Suite allows you to build efficient, low-footprint ML models for direct programming into our MCUs, MPUs and dsPIC® DSCs. Powered by AutoML, it streamlines model building and optimizes models for memory constraints with feature extraction, training, validation and testing. The API is fully convertible to Python for flexible model development.
MPLAB® Harmony v3
Bring Your Own Model
You can easily bring your existing Deep Neural Network (DNN) model to an MCU or MPU device. After converting a TensorFlow model to a LiteRT (formerly TensorFlow Lite) model, you can load the model to the device’s flash memory for inference. MPLAB® Harmony v3 can help you add the ML runtime engine and integrate it with other peripherals.
VectorBlox™ Accelerator SDK
Deploy Your Model on FPGAs
Use our state-of-the-art VectorBlox™ Accelerator Software Development Kit (SDK) to convert a high-level DNN to its lighter version (such as TensorFlow Lite) and deploy it on PolarFire® FPGAs.
Design Partners
If you need assistance developing an AI or ML project, take advantage of our partnerships with industry-leading design companies to provide state-of-the art AI-based solutions and software tools that support our portfolio of silicon products. These partners have proven capabilities and are uniquely qualified to provide you with the support you need to successfully bring your innovative design to life.
Latest Edge AI Blogs
MSMQAstageTesting123
In today’s hyperconnected world, Radio Frequency (RF) technology forms the backbone of communication, navigation, sensing and wireless systems. From 5G and Wi-Fi 7 networks to radar, satellite communications and IoT devices, reliable RF performance is critical. As systems push higher frequencies, wider bandwidths and more complex modulation schemes, advanced RF test and measurement (T&M) solutions are essential to provide signal integrity, compliance and performance. In this blog post, you’ll discover how innovative RF solutions are transforming test and measurement applications. You’ll learn about the latest advancements in voltage controlled SAW oscillators, SAW filter banks and GaAs amplifiers, and how these technologies can help you achieve superior results, streamline integration and overcome the challenges of modern instrumentation. The rapid evolution of wireless technologies has transformed the RF test environment. Traditional instruments like signal generators, spectrum analyzers and network analyzers remain vital—but the way they are integrated, automated and interpreted has changed dramatically. Key trends driving modern RF testing include: Higher Frequencies and Bandwidths: The move toward millimeter-wave (mmWave) frequencies in 5G, radar and satellite systems requires instruments capable of handling up to 110 GHz and beyond, with wide instantaneous bandwidths. Complex Modulations and Waveforms: Modern communication standards use multi-level modulation schemes (such as QAM, OFDM) that demand high dynamic range and low phase noise from test equipment. Integration and Miniaturization: As devices combine multiple RF functions on a single chip or module, testing must adapt to measure system-level performance rather than individual components. The demand for precision and efficiency in test and measurement systems has never been greater. As technology evolves, engineers face increasing pressure to deliver reliable, high-performance results in smaller, more complex packages. Trends like miniaturization, wide bandwidth requirements and ultra-low noise floors are shaping the future of instrumentation and industrial applications. Staying ahead means adopting solutions that not only meet these demands but also simplify design and integration. Voltage Controlled SAW Oscillators (VCSOs): Setting the Standard for Signal Purity The 101765 Ultra Low Phase Noise VCSO family delivers an industry-leading noise floor of -180 dBc/Hz, delivering exceptional phase noise performance. These VCSOs are ideal for precision instrumentation, where signal integrity is critical for accurate measurements. Integrated Miniature Switched SAW Filter Banks: Maximizing Space and Efficiency Replacing arrays of discrete filters, compact switched SAW filter banks enable significant miniaturization and simplified system integration. They conserve valuable board space and streamline manufacturing, making them suitable for space-limited environments and modern test equipment. GaAs MMIC Distributed Amplifiers: Wide Bandwidth and Low Noise for Demanding Applications GaAs MMIC amplifiers offer flat gain, positive gain slope, excellent LNA noise figures and strong IM3 linearity. The MMA121AA stands out with operation from DC to 67 GHz, high gain and robust output power, making it fit for wide-bandwidth test and measurement, instrumentation, military and space applications. Product Highlights: What Sets These Solutions Apart Board Space Reduction: Miniaturized solutions free up valuable PCB real estate. Wide Bandwidth Amplifiers: Support for broad frequency ranges in demanding applications. Ultra-Low Noise Floor: Enables precise measurement and performance in test and measurement environments. adobestock_444932227 As RF technologies continue to advance, the demand for accurate, scalable and intelligent test and measurement solutions grows stronger. Future-ready RF systems will combine high-frequency capability, software flexibility and AI-enhanced analytics to keep pace with the innovation cycles of next-generation wireless systems. Robust RF testing certifies that connectivity remains reliable, efficient and compliant powering the next wave of technological progress. Want More? Ready to elevate your test and measurement systems with advanced RF solutions? Explore our product portfolio to find the right components for your application. For more information, technical support or to discuss your specific needs, visit our T&M webpage or contact our team today. Achieve superior performance and reliability—start your journey with innovative RF technology now.
Introducing the First 3nm Gen 6 PCIe® Switchtec™ Family: Redefining High-Performance Connectivity to Power Modern AI Infrastructure
The 3nm Gen 6 PCIe® Switchtec™ family sets a new benchmark in high-performance connectivity by leveraging advanced 3nm process technology and full PCIe Gen 6 support, delivering exceptional bandwidth, ultra-low latency and superior power efficiency. Its robust, scalable architecture is designed to meet the demands of data centers, AI and cloud computing, while providing seamless integration and futureproofing for emerging applications. With enhanced data integrity, security and flexible deployment options, Switchtec technology empowers organizations to build faster, more reliable and energy-efficient infrastructures.
PIC64: Mission Critical Compute Needs Mission Critical Security
Microchip’s new family of 64-bit microprocessors (MPUs) delivers mission-critical security to meet the emerging demands of mission-critical compute in A&D and Industrial applications.
NAND Management and Data Retention Using Machine Learning Engine (MLE)
Integrating Machine Learning Engine (MLE) into end point storage devices such as NVMe® SSD allows data centers to use different Artificial Intelligence (AI) models for various applications, such as data management.
Additional Design Resources
We offer a comprehensive suite of design resources, including detailed blogs, instructional videos, step-by-step tutorials and extensive documentation, to support engineers and developers in creating innovative solutions with their products.
