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Adds Safety, Productivity, and Efficiency to the Users of the Modjoul SmartBelt
The industrial internet of things (IIoT) global spend estimates are projected to top $1 trillion by 2025. With this as the backdrop, the Modjoul platform was built to help organizations address many of the challenges associated with a heterogeneous IoT-based platform that can integrate worker data coming from wearables like the Modjoul SmartBelt with machine-related data (e.g., forklift, truck, or factory) and other structured or unstructured corporate data.
Modjoul co-founders Eric Martinez and Jen Thorson created the SmartBelt to decrease those numbers by tracking, analyzing, and leveraging employee work metrics to enhance safety and productivity.
Typically, the work done by the employees is not being tracked or used in a meaningful manner because collecting and analyzing work metrics is a time-consuming, error-prone task that involves many manual, paper-driven processes. Modjoul partnered with Virtusa to design and manage a robust Internet of Things (IoT) data aggregation and analytics platform using AWS to proactively manage worker safety and improve organizational efficiency for its clients.
It is entirely API-driven and tremendously scalable and extensible. Through an open API architecture, data can be streamed from any wearable device or machine, including belts, vests, and hard hats. The connected workplace can be extended to phones, chip-enabled ID badges, forklifts, trucks, and factory machinery. Organizations can also move the data to their own environments for advanced analytics and third-party device integrations.
The data is securely received in millions of bits and is intelligently reassembled. The back-end application platform provides an advanced framework for a company to monitor data intelligently and receive alerts based upon established thresholds built using machine learning algorithms.
Data is parsed through pattern recognition and data modeling and is then converted into simple verbs, think walking, driving, bending, climbing, and sitting or standing (idle). The SmartBelt platform employs two random forest models within the batch processing. The first model is a high-level activity classifier and provides an activity label for each millisecond of data (e.g., static, dynamic, upper-body, or lower-body movement). This classification is included as an input (feature) in the second model, which provides a lower-level classification for each second of movement (e.g., walking, sitting, or twisting).
Beyond this, the platform employs many heuristics to arrive at other classifications like driving, acceleration, hard braking, and squatting that lead to intelligent Gait analysis'more specifically, the study of human motion-using the SmartBelt to augment the instrumentation for measuring body movements, body mechanics, and physical activity at a particular geo-location.
The following AWS services were used to build this platform's revolutionary architecture.
It's innovative companies like Modjoul who will help pave the way for IoT to have an unparalleled impact on our society. For organizations looking to truly automate their overall operations through intelligent use of IoT data, Modjoul is certainly on the vanguard of industrial wearable health technology. It is built as an industrial-strength platform that can easily scale on the back end of a flexible AWS cloud platform.
The Modjoul SmartBelt enhances worker safety and productivity with a mobile app and an intelligent workplace wearable using a cognitive IoT platform to provide a well-connected work environment. The technology provides the ability to correlate data from multiple sources into a common AI under-laced data model.