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, Smart City Infrastructure
Motion and Audio Sensor Event Detection, Estrus monitoring, Lameness, Activity Monitoring for Livestock Wearables
Activity Recognition, Gesture Recognition, Audio Event Detection, Motion Analytics for Smart Devices