Tech

Challenge: Smart tools for audio analysis in IoT networks


Ooredoo invites proposals from Startups, SMEs and Enterprises on technologies that provide Smart Engines for Audio Analytics in IoT networks. Ooredoo is looking for innovative hardware and software solutions to address the growing need for near-real-time audio data in IoT networks, enabling measurement, predictive analytics, and maintenance.

Image credit: goingai qua Pixabayfree license

Audio monitoring can passively provide diverse data sets for machine monitoring, for example, for metrics, single fault detection, and audio pattern recognition. When combined with Artificial intelligence and Machine Learning, audio systems show great potential for implementing proactive monitoring, predictive maintenance, and real-time intervention.

The principle is to capture audio signals from the environment or an object and analyze the sound patterns (e.g. noise from a running engine). Compared with ‘regularly repeated’ patterns or through an adaptive learning approach, biases or anomalies (e.g. mechanical bearing noise) can be identified, and thus can be introduced. make recommendations, warnings or actions.

One target use case is for maintenance and service equipment such as vehicles, construction machinery, or elevators in buildings. This is typically done based on frequent on-site service visits and time-based usage assumptions (like hours of operation). Maintenance based on remotely capturing equipment health or usage information through IoT technologies can greatly improve service efficiency. Any breakdowns, abnormalities, or usage conditions are monitored remotely and enable reduced intervention costs and proactive service planning.

Ooredoo is interested in identifying Intelligent Audio Analytics solutions to be used in various application scenarios related to equipment service and maintenance.

The system is expected to be able to identify defects or other acoustic condition problems and ideally locate the problem. This remote system can be retrofitted to existing equipment and new systems. Smart audio systems must collect data in sampling mode and/or continuous operation and perform analysis with acceptable latency in the range of minutes, depending on the end application. In addition, the system must detect and analyze audio patterns (i.e., the evolution of sound over time), which develop spontaneously over longer time scales.

Submissions for this Challenge must be received by September 6, 2022.

Source: NineSights






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