Application for summer of FPGA, Anomaly detection using audio data

After the industrial revolution in the 18th-century machines are vital parts of humans and they are very much essential to fulfill the demands of the fast-growing world. We as engineers should try to

reduce the complexity and solve the existing problems for the betterment of society. Industrial machines play a vital role in the mass production of goods such as food and clothing. Any downtime in these

industries might cause a huge disruption in the supply chain causing huge chaos in the demand and supply balance. With the help of FPGA, we can build an audio classifier that can identify the anomaly in

the machine just by analyzing the sound. This solution will be predictive maintenance for industrial motors using the FPGA.

It can classify the audio data from normal operation to abnormal operation.

The Block diagram is as shown in the above diagram. I would like to explore more on this end by including a small FFT algorithm to clean out the data.

About me:

I'm Vishwas. I work as a Senior Research and Development Engineer at Tejas Networks, a leading Network equipment manufacturer here in India. My work revolves around the design and development of complex FPGA based high-speed boards for the network equipment to cater to the needs of 5G. Previously I worked as a Research Assistant at Robert Bosch Centre for Cyber-Physical Systems, one of the largest Cyber-Physical Sytems in the world where I worked on hardware design and development for robotics and drones i.e especially on autonomous drone charging pads, at the Indian Institute of Science, Bengaluru. I'm keen on research and development and I love electronics and building some cool stuff out of it. I write about my adventures in electronics in hackster.io and many other platforms. I have participated in many competitions both online and offline about hardware hacking and won many awards. Till now I have won 6 awards in hackster.io itself. My interests are embedded systems, circuit design, and product design. To know more about me please visit my portfolio website http://vishwasnavada.github.io One more added advantage is I have already worked on the design and development of wearable healthcare devices and written a detailed article on the https://hackster.io/vishwasnavada

  Also, I have written articles and participated in design challenges in the element14 community and won in some too. Here's my profile: vishwasn Thanks a lot for your time.

Regards,

Vishwas Navada B