by Chris Knorowski, September 24, 2018
"SensiML brings real-time event detection to the sensor endpoint with a platform that is accessible to any application developer. Algorithms are created by feeding labeled sets into a cloud-based analytic engine, where SensiML’s AI routines create an optimized device-ready algorithm that balances the desired accuracy with the resource constraints of the target hardware. These algorithms are automatically compiled to optimized machine code that can run in real time on the target embedded platform. SensiML’s platform brings the firmware and data science expertise so that you can go from PoC to production rapidly and with confidence."
QuickLogic's QuickAI™ and EOS™ S3AI platforms are both supported within SensiML Analytics Studio. Unique ultra-low power AI platforms with heterogeneous processing cores, the QuickLogic family of endpoint AI platforms allow SensiML algorithms to be implemented with hardware optimization for FPGA, DSP, and neuromorphic memory.
QuickLogic’s QuickAI platform for endpoint artificial intelligence (AI) applications provides an all-inclusive low power solution and development environment to economically incorporate the benefits of AI in endpoint applications. Full details can be found at the Quicklogic QuickAI product site.
The SensorTile is a tiny, square-shaped IoT module that packs powerful processing capabilities leveraging an 80 MHz STM32L476JGY microcontroller and Bluetooth low energy connectivity based on BlueNRG-MS network processor as well as a wide spectrum of motion and environmental MEMS sensors, including a digital microphone.
Nordic Thingy:52® is natively supported within SensiML Analytics Studio
The Nordic Thingy:52® is a compact, power-optimized, multi-sensor development kit. It is an easy-to-use development platform, designed to help you build IoT prototypes and demos, without the need to build hardware or write firmware.
Intel® Atom™ (and other x86 compatible processors) are supported within SensiML Analytics Studio
The Intel® Atom™ processor line is built for embedded applications. Power mobile, portable, and small-scale devices of every kind. Choose from processor/chipset combinations and system-on-chip configurations that deliver excellent performance per watt, rich graphics, and I/O integration.
is supported within SensiML Analytics Studio
The Raspberry Pi 3 Model B+ is the latest product in the Raspberry Pi 3 range, boasting a 64-bit quad core processor running at 1.4GHz, dual-band 2.4GHz and 5GHz wireless LAN, Bluetooth 4.2/BLE, faster Ethernet, and PoE capability via a separate PoE HAT.
by Chris Rogers, June 28, 2018
"While much has been made of AI and ML analytics in the cloud and in edge computing, the overlooked opportunity for analytics contributions at the extreme edge (i.e. the sensor processor itself) remains largely untapped. This presentation - delivered at Sensors Expo 2018 in San Jose, CA - delves into the current and forthcoming advancements in extreme edge processing as part of an overall IoT network solution and the benefits and challenges of a more active role for sensor analytics processing."
by Marcellino Gemelli, October 13, 2017
"Counter intuitively, it is often more efficient to simply leave a sensor on permanently, waiting to identify useful information, e.g. an accelerometer in a step counter application. Our sensor system must intelligently determine which data is worth transferring to the cloud and thereby efficiently utilize the available bandwidth and power. The key is for local on-sensor processing to discard most of this superfluous data autonomously and thus save valuable system driver capacities."
Webinar: Endpoint AI Without Writing Code
Industrial Machinery Monitoring Demo
Industrial Wearable Demo
Quick Start Video Tutorials
Educational Wearable Demo
Mando-Hella Electronics Rapidly Develops Smart Sensor Applications for New Markets with SensiML Analytics Toolkit
"With the combination of hardware know-how and SensiML Analytics Toolkit for automating the development of smart sensor algorithms, MHE has developed no fewer than five completely unique intelligent products in less than 9 months’ time. The significantly improvement productivity allows MHE to quickly iterate on product features and applications and ensures they have a competitive advantage in expanding their existing business into new markets."