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How SensiML Enhanced Sensor Data Analytics with SciChart

How SensiML Enhanced Sensor Data Analytics with SciChart

Platform: WPF

Industry: Software Development

SensiML is a company that specializes in providing software solutions for building and deploying machine learning algorithms on edge devices, mainly in the realm of sensor data analytics.

Their platform enables developers to create intelligent sensor applications for a variety of use cases, including wearable devices, IoT (Internet of Things) devices, and health monitoring systems, among others. SensiML’s technology focuses on making the development of these applications more efficient and accessible, particularly by simplifying the process of sensor data annotation, machine learning model training, and model deployment to edge devices.

Challenge: Existing charting capabilities within Data Studio led to performance bottlenecks when handling large volumes of time series sensor data, resulting in slow processing times and reduced responsiveness. Furthermore, the platform lacked advanced visualization options, making it challenging for users to gain deeper insights into model behaviour and make informed decisions based on the visualized data.

Solution: With SciChart’s robust rendering engine, SensiML can effortlessly handle large volumes of time series sensor data without compromising on performance or responsiveness, ensuring scalability for capturing labelling and analyzing extensive datasets.

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By Andrew Burnett-Thompson | Jun 07, 2024
CEO / Founder of SciChart. Masters (MEng) and PhD in Electronics & Signal Processing.Follow me on LinkedIn for more SciChart content, or twitter at @drandrewbt.

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