CARVIEW |
-
⟵ BackProductsNon-WirelessNon-WirelessIoT TechnologiesIoT Technologies
-
⟵ BackApplications
-
⟵ BackSoftware & ToolsDeveloper JourneysDeveloper Journeys
-
⟵ BackResourcesDocumentationDocumentationPartnersPartners
-
⟵ BackCompanyAbout our CompanyAbout our Company
Machine Learning
Bringing Machine Learning to IoT applications reduces bandwidth requirements, saves power, and increases a device’s ability to make smarter decisions. Silicon Labs supports machine learning in all its wireless SoCs, which enhances their acceleration speed using MVP (matrix vector processing) and consumes low power, thereby unlocking a plethora of new use cases.
Bringing ML to the Tiny Edge
Integration with Wireless SoCs
Industry’s widest portfolio of wireless solutions combined with ML for Tiny Edge devices.
Deep Learning Neural Networks
Improvement in learning speed and accuracy over classical ML algorithms.
Rich Set of Development Tools
ML tools and solutions for explorers to experts for faster application development.
AI/ML Hardware Accelerator
Provides up to 8x faster ML inferencing at 1/6th energy, reduces BOM footprint and design complexity.
Build scalable Machine Learning applications quickly using our AI/ML Developer Journey.
Hardware
Software
Development Tools
Applications
Hardware


EFR32MG24 Series 2 Multiprotocol Wireless SoC
EFR32MG24 Series 2 Multiprotocol Wireless SoC
The EFR32MG24 Wireless SoCs are ideal for mesh IoT wireless connectivity using Matter, OpenThread and Zigbee protocols for smart home, lighting, and building automation products. With key features like high performance 2.4 GHz RF, low current consumption, an AI/ML hardware accelerator and Secure Vault™, IoT device makers can create the smart, robust, and energy-efficient products that are secure from remote and local cyber-attacks. An ARM Cortex®-M33 running up to 78 MHz and up to 1.5 MB of Flash and 256 kB of RAM provides resources for demanding applications while leaving room for future growth. Target applications include gateways and hubs, sensors, switches, door locks, LED lighting, luminaires, location services, predictive maintenance, glass break detection, wake-word detection, and more.


EFR32BG24 Series 2 Bluetooth Low Energy SoC - EFR32BG24
EFR32BG24 Series 2 Bluetooth Low Energy SoC - EFR32BG24
The EFR32BG24 Wireless SoCs are ideal for IOT wireless connectivity using Bluetooth Low Energy and Bluetooth mesh for smart home, lighting, and portable medical products. With AECQ-100 qualification, support for Channel Sounding, and key features like high performance 2.4 GHz RF, low current consumption, an AI/ML hardware accelerator and Secure Vault™, IoT device makers can create the smart, robust, and energy-efficient products that are secure from remote and local cyber-attacks. An ARM Cortex®-M33 running up to 78 MHz and up to 1.5 MB of Flash and 256 kB of RAM provides resources for demanding applications while leaving room for future growth. Target applications include gateways/hubs, sensors, switches, door locks, smart plugs, LED lighting, luminaires, blood glucose meters and pulse oximeters.


EFR32MG26 Series 2 Multiprotocol Wireless SoC
EFR32MG26 Series 2 Multiprotocol Wireless SoC
The EFR32MG26 Multiprotocol Wireless SoCs are the most future-proof wireless SoCs that are ideal for mesh IoT wireless connectivity using Matter, OpenThread, and Zigbee protocols for smart home, lighting, and building automation products. With key features like high-performance 2.4 GHz RF, low current consumption, an AI/ML hardware accelerator, and Secure Vault™, IoT device makers can create the smart, robust, and energy-efficient products that are secure from remote and local cyber-attacks. An ARM Cortex®-M33 running up to 78 MHz and up to 3 MB of flash and 512 kB of RAM enables more complex applications and provides headroom for Matter over Thread. Target applications include gateways and hubs, LED lighting, switches, sensors, locks, glass break detection, predictive maintenance, wake-word detection, and more.


EFR32FG28 Sub-GHz Wireless + 2.4 GHz BLE SoCs
EFR32FG28 Sub-GHz Wireless + 2.4 GHz BLE SoCs
The EFR32FG28 SoC is an ideal dual band Sub-GHz + 2.4 GHz Bluetooth LE SoC solution for IoT applications in smart homes, security, lighting, building automation, and metering. This dual band solution combines a high-performance Sub-GHz radio that provides long range capabilities and a Bluetooth radio for increased design flexibility. The large memory footprint and increased IO count allows for design consolidation and Secure Vault™ gives flexibility to choose the security level that meets your product’s needs.



SiWx917M Wi-Fi 6 plus Bluetooth LE 5.4 Wireless SoCs
SiWx917M Wi-Fi 6 plus Bluetooth LE 5.4 Wireless SoCs
Our SiWx917M SoC is our lowest power Wi-Fi 6 SoC, ideal for ultra-low power IoT wireless devices using Wi-Fi®, Bluetooth, Matter, and IP networking for secure cloud connectivity. It is optimal for developing battery operated devices that need long battery life. SiWx917M SoC includes an ultra-low power Wi-Fi 6 and Bluetooth Low Energy LE 5.4 wireless CPU subsystem, and an integrated micro-controller (MCU) application subsystem, security, peripherals and power management subsystem all in a single 7x7 mm QFN package. The wireless subsystem consists of a Network Wireless Processor running up to 160 MHz, baseband digital signal processing, analog front end, 2.4 GHz RF transceiver and integrated power amplifier. The application subsystem consists of an ARM® Cortex®-M4F running up to 180 MHz, embedded SRAM, FLASH, and Sensor Hub. The ARM® Cortex®-M4F is dedicated for peripheral and application-related processing, while the network wireless processor runs the wireless and networking stacks on independent threads, thus providing a fully integrated solution that is ready for a wide range of embedded wireless IoT applications.
Target applications include Smart Homes, Consumer Health and Wearables, Medical, Industrial, Retail, Smart Building and Cities, Asset Tracking.
Software
Getting Started With ML Software
Silicon Labs offers ML development tools for any level of experience, and we’ve curated our resources based on level of expertise:
Edge Impulse for ML Explorers
Edge Impulse is ushering in the future of embedded ML by empowering developers to create and optimize solutions with real-world data. Silicon Labs is making the process of building, deploying, and scaling embedded ML applications easier and faster than ever, unlocking massive value across every industry, with millions of developers making billions of devices smarter.
SensiML for ML Explorers
SensiML offers AutoML embedded code generation software for implementing AI at the IoT edge. The SensiML Analytics Toolkit supports rapid data collection, ML classification, and optimized firmware code generation, and built-in automation reduces development time and cost by generating optimized edge AI sensor algorithms in a fraction of the time.
TensorFlow for ML Experts
For ML development experts, we offer native support of TensorFlow Lite for Microcontrollers natively for all Series 1 and Series 2 wireless SoCs, and offer two options to create models:
Software for ML Solutions
For developers with little or no ML experience, Silicon Labs has a partnership with Sensory for keyword and wake-word applications, and Micro.ai for anomaly detection.
Development Tools
xG24-DK2601B EFR32xG24 Dev Kit
The EFR32xG24 Dev Kit is a compact, feature-packed development platform. It provides the fastest path to develop and prototype wireless IoT products. The development platform supports up to +10 dBm output power and includes support for the 20-bit ADC as well as other key features such as the xG24's AI/ML hardware accelerator.
xG26-EK2709A EFR32xG26 Explorer Kit
The EFR32xG26 Explorer Kit, xG26-EK2709A, is small form factor development and evaluation platform based on the EFR32MG26 System-on-Chip focused on rapid prototyping and concept creation of IoT applications for 2.4 GHz wireless protocols including Bluetooth LE, Bluetooth mesh, Zigbee, Thread, and Matter.
xG28-EK2705A EFR32xG28 Explorer Kit
The EFR32xG28 Explorer Kit is a small form factor development and evaluation platform based on the EFR32xG28 System-on-Chip. The kit is focused on rapid prototyping and concept creation of IoT applications for Sub-GHz and Bluetooth LE like Wi-SUN, Amazon Sidewalk, Z-Wave, Wireless M-Bus, and proprietary networks
Applications
Sensor signal processing is the use of low data rate sensors including accelerometers, gyroscopes, air quality sensors, temperature sensors, or pressure sensors. This makes it possible to extend machine life cycles, avoid down time, and reduce cost with preventive maintenance.
Audio pattern matching uses microphones to detect a very wide range of non-speech related sounds including squeaky bearings, breaking glass, or running water. These features make it possible to bolster in-home security with glass break detector, scream, and shot detection.
Voice commands are a specific sub-set of audio patterns that are the recognition of single words, which is also sometimes referred to as keyword spotting. Make a smart home a responsive home by turning lights on/off with AI/ML keyword detection.
Make smart devices seeing devices by wake-up upon object detection, presence detection, people counting, and more.
AI/ML Partners
Edge Impulse is the leading development platform for embedded machine learning, free for developers, and used by over 1,000 enterprises worldwide.
SensiML pioneered software tools simplifying the development of TinyML code for IoT sensor applications.
Sensory Inc. creates a safer and superior UX through vision and voice technologies widely deployed in consumer electronics applications.
MicroAI™ is an endpoint-based artificial intelligence and machine learning engine that lives directly on a device.
Eta Compute is a team of experts with AI, IoT, and systems design DNA, coming together to solve the tough problems of advanced ML algorithms.
Featured Videos
-
Now playing
Voice Command Recognition with Pacman
-
Now playing
Fingerprint Authentication Demo
-
Now playing
Guitar Note Recognition with AI/ML
-
Now playing
Rock, Paper, Scissors Gesture Recognition Demo
Featured AI/ML Resources
Silicon Labs Blog
Silicon Labs Blog
Silicon Labs Blog
Silicon Labs Blog
Silicon Labs Blog
Curriculum
Your File Will Start Downloading Shortly
Thank you for downloading .
If you have any issues downloading, please contact sales support or product technical support.
Please select at least one column.