Speech Recognition enables recognition and translation of spoken language using real-time or recorded audio. Speech, in contrast to speech transcripts, has information encoded such as tonality, variation of vocal aspects such as pitch and volume that is indicative of the speaker’s emotion, not captured in transcripts. At Affine, we are leveraging the speech data of our customers’ in the Customer Service domain, to help them understand the emotions of their customers better and we are developing technology can be used to improve the overall customer experience. This technology is also used in the development of speech bots where a user can interact with a computer just by talking. We see a huge potential in Speech Recognition Systems as it has already established a strong foothold in the field of Education, control systems, home automation, etc. where Affine aims to spread it’s Speech Recognition capabilities.

At Affine, we are developing systems capable of detecting traffic violations such as parking violation, one-way violations, riding without helmets, etc. using deep learning techniques such as Object Detection and Localization. This helps in real-time monitoring and real-time traffic management that can be deployed at scale. This technology is also used by Affine to monitor the health of it’s customer’s machinery such as wind turbines to predict failure events and maximize throughput of manufacturing processes by optimizing the machine parameters during production. Affine is helping it’s customers in the manufacturing space to seamlessly transition from existing processes to  comply with the Industry 4.0 standards.