AUSTIN, Texas – Oct. 31, 2016 – Silicon Labs (NASDAQ: SLAB) has introduced a complete sensor-to-cloud development kit that provides all the hardware and software developers need to create battery-powered wireless sensor nodes for the Internet of Things (IoT). Silicon Labs’ new feature-packed Thunderboard™ Sense “inspiration kit” includes six onboard sensors, a Wireless Gecko SoC for multiprotocol cloud connectivity, 8 MB of external flash for over-the-air updates and a built-in SEGGER J-Link to simplify programming and debugging. Thunderboard Sense ships with Silicon Labs’ ready-to-use cloud-connected IoT mobile apps, making it easy to collect and view a wealth of real-time sensor data for cloud-based analytics and business intelligence.
Get the details on Silicon Labs’ Thunderboard Sense kit including pricing, availability and videos at www.silabs.com/thunderboardsense. Download Thunderboard mobile apps from the Apple Store and Google Play and get source code from GitHub. Discover how easy it is to develop intelligent sensor node applications for health and fitness wearables, home and industrial automation, motorized devices, asset tracking and more.
According to the IoT market research firm ON World, annual shipments of wireless sensor nodes will reach 2.5 billion units by 2021, up from 680 million this year. Short-range wireless technologies such as ZigBee®, Thread, Bluetooth® and Wi-Fi® will connect the majority of these nodes to the cloud. All-inclusive, easy-to-use development kits like Thunderboard Sense and Thunderboard React makes it easy for developers of all skill levels to create cloud-connected wireless sensing products for homes, offices, smart cities, smart grids, transportation, agriculture and asset tracking.
The latest addition to Silicon Labs’ Thunderboard family of development kits, Thunderboard Sense simplifies IoT design by providing the sensing, processing and a choice of connectivity technologies needed to connect battery-powered sensor nodes to the cloud. Onboard sensors measure data, such as motion, light and environmental conditions, and then transmit this data wirelessly to the cloud. An intuitive Android or iOS mobile app displays the data on the developer’s mobile device for data aggregation and cloud analytics.
“We’ve designed Thunderboard Sense to inspire developers to create innovative, end-to-end IoT solutions from sensor nodes to the cloud,” said Raman Sharma, Director of Silicon Labs’ IoT Developer Experience. “Thunderboard Sense helps developers make sense of everything in the IoT. They can move quickly from proof of concept to end product and develop a wide range of wireless sensing applications that leverage best-in-class cloud analytics software and business intelligence platforms.”
Offered in a compact 30 mm x 45 mm board that fits in the palm of your hand, the feature-packed Thunderboard Sense kit includes the following components:
- Silicon Labs EFR32 Mighty Gecko multiprotocol wireless SoC with a 2.4 GHz chip antenna
o Based on the powerful ARM® Cortex®-M4 processor
o Supports Bluetooth low energy, ZigBee, Thread and proprietary protocols
- Silicon Labs EFM8 Sleepy Bee microcontroller enabling fine-grained power control
- Silicon Labs Si7021 relative humidity and temperature sensor
- Silicon Labs Si1133 UV index and ambient light sensor
- Bosch Sensortec BMP280 barometric pressure sensor
- Cambridge CCS811 indoor air quality gas sensor
- InvenSense ICM-20648 6-axis inertial sensor
- Knowles SPV1840 MEMS microphone
- Four high-brightness RGB LEDs
- Onboard SEGGER J-Link debugger for easy programming and debugging
- USB Micro-B connector with virtual COM port and debug access
- Mini Simplicity connector for access to energy profiling and wireless network debugging
- 20 breakout pins for easy connection to external breadboard hardware
- CR2032 coin cell battery connector and external battery connector
The energy-friendly components on the Thunderboard Sense board enable developers to create wireless sensor nodes powered by small coin-cell batteries. Silicon Labs has optimized the provided firmware and mobile app to limit power consumption. Onboard sensors and LEDs can be turned on and off by the application as needed.
Developers can program Thunderboard Sense using the USB Micro-B cable and onboard J-Link debugger. A USB virtual COM port provides a serial connection to the target application. Thunderboard Sense is supported by Silicon Labs’Simplicity Studio™ tools, and a board support package (BSP) gives users a head start in application development. Developers do not need RF design expertise to develop wireless sensor node applications with Thunderboard Sense. After connecting the board to a laptop with a USB cable, developers can get up and running in minutes with Silicon Labs’ easy-to-use Simplicity Studio tools, free mobile apps and IoT demos.
Pricing and Availability
The Thunderboard Sense kit (SLTB001A) is available today and priced at $36 (USD MSRP). All hardware schematics, open-source design files, mobile apps and cloud software are included at no charge to developers. For additional information and to order Thunderboard Sense kits, please visit www.silabs.com/thunderboardsense. Visit the Apple Storeand Google Play to download Thunderboard mobile apps. Visit www.github.com/siliconlabs to download Thunderboard mobile app and cloud software source code.
Connect with Silicon Labs
Silicon Labs PR Contact: Dale Weisman +1-512-532-5871, dale.weisman@silabs.com
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Silicon Labs
Silicon Labs (NASDAQ: SLAB) is a leading provider of silicon, software and solutions for the Internet of Things, Internet infrastructure, industrial automation, consumer and automotive markets. We solve the electronics industry’s toughest problems, providing customers with significant advantages in performance, energy savings, connectivity and design simplicity. Backed by our world-class engineering teams with unsurpassed software and mixed-signal design expertise, Silicon Labs empowers developers with the tools and technologies they need to advance quickly and easily from initial idea to final product. www.silabs.com
