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Comprehensive platform for collaborative sensor data capture, labeling, analysis, and modeling
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Powerful built-in visualizations, analysis packages and Python plugins unlock sensor data insights
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SensiML now accepting user registrations for limited invitation preview release
SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects – creating high-quality datasets for evaluating and developing ML models.
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According to Cognilytica, a well-respected AI / ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling, and augmentation – all of which are supported in SensiML’s collaborative development environment.
SensiML Data Studio significantly improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualization tools, sensor data video synchronization, and robust support for large-scale collaborative projects, it offers a seamless experience for developers on edge devices, gateways, PCs, and cloud platforms.
A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below:
- Effortless Data Capture and Import – Capture live sensor data, analyze it instantly, and label any data for seamless insights.
- Collaboratively Label Sensor Data – Employ flexible labeling methodologies for sensor data, including manual, AI-assisted, and custom – and sync video for effortless complex labeling. Store and analyze data locally on your computer or remotely.
- Data Analysis and Model Evaluation – Visually compare ML models, filter, transform, and fuse sensor data – all with built-in tools and your own Python expertise.
- Label and Data Versioning – Keep track of your labels and model results with versioned labels. Easily export your project to an open format.
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“SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries,” said Chris Knorowski, CTO of SensiML.
SensiML Data Studio is poised to transform sensor data analysis, offering a valuable resource for researchers, engineers, and data scientists across diverse sectors from agriculture and consumer wearables to medical devices, smart buildings, and factory maintenance.
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