SensiML brings real-time event detection to the IoT sensing endpoint with a platform that is accessible to any application developer.
Algorithms are created using the SensiML AutoML analytics engine to generate an optimized, device-ready algorithm that balances the desired accuracy with the resource constraints of the target hardware.
These algorithms are automatically compiled to edge platform machine code that can run in real time on the target embedded platform… not in the cloud.
The result is code that runs faster, provides insight where events occur, requires less network performance, and is more secure through better partitioning of data processing tasks.
SensiML’s platform brings the firmware and data science expertise so that you can go from PoC to production rapidly and with confidence.
SensiML Toolkit enables AI for a broad array of resource constrained time-series sensor endpoint applications. These include a wide range of consumer and industrial sensing applications.
Predictive Maintenance, Anomaly Detection, Process Control and Inspection, and Industrial Wearables
Occupancy Aware Smart Lighting and Smart City Infrastructure
Livestock Wearables
Virtual Coaching Smart Wearables
Downloads for the SensiML Toolkit product offering and technical overview
Articles on Smart Sensor Endpoints, IoT, and ML Analytics
Watch demos, an explainer video, webinar, and process overview
See how SensiML Analytics Toolkit has been used to develop Smart Sensor applications for new markets.
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 MCU, FPGA, and DSP resources.
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.
The i.MX RT series of crossover MCUs combine high performance and real time functionality with integration, security and MCU-level usability at an affordable price.
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.
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.
ARM Cortex-M3 and higher processors are supported within SensiML Analytics Studio
The Arm Cortex-M processor family is a range of scalable, energy efficient and easy-to-use processors that meet the needs of tomorrow’s smart and connected embedded applications.
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.
