Acoustic Event Detection
Accurate AI Sensor Algorithms For the Smallest IoT Devices
Activity Recognition
Anomaly Detection
Gesture Recognition
Keyword Spotting
Vibration Classification
AI/ML tools for the cloud are great... for cloud-centric data analytics. But such tools are NOT well suited for generating ultra compact, optimized sensor inference code for microcontrollers and edge processors.
SensiML Analytics Toolkit factors edge performance and optimization into every step of the AI/ML development pipeline from data collection to optimized code generation. In addition, our processing libraries and base models are built specifically to support sensor data and use cases. The result: ML code that in some cases can even run on 8-bit MCUs!
So don't start your project off on the wrong foot with general purpose AI tools for cloud analytics. Explore how SensiML's powerful yet straightforward IoT edge tool suite generates best-in-class ML code accuracy and efficiency.
SensiML exhibited again this year at Embedded World 2024 in Nuremberg, Germany and showcased our new product lineup and latest demos including Data Studio and a new smart tooling demo.
If you missed us at the show, check out the blog highlighting our activities there.
Our latest version of SensiML's innovative ML DataOps software is now known as Data Studio and available standalone. Data Studio offers easy dataset management to a broad base of SensiML, open source AI framework, and cloud AI users.
In addition, we have streamlined our plans across the board to make it easier and more flexible to choose SensiML for your IoT Edge ML needs.
On Feb 7th DornerWorks and SensiML shared their experiences and discussed ways to harness the power of AI/ML to bring innovative features to embedded applications.
Dornerworks showcased a groundbreaking technology that turns everyday Wi-Fi signals into a powerful tool for detecting movement and activity. Imagine using the Wi-Fi signals already present in your environment as a kind of 'free radar'.
