Audio Analytic: Intelligent sound detection for your smart home Background As the security-centric smart home becomes a hot topic, CCTV still plays a key role. But current systems fail to deliver results if the event is outside the camera’s view, or if it is more naturally detected by an audio cue (such as a smoke alarm going off or a baby crying). These challenges can now be addressed by industry leading sound recognition pioneer Audio Analytic. Since its inception, Audio Analytic has proved to be reliable, adopted widely in the professional security market and homes. It is currently deployed into cities, university campuses, retailers, hospitals and households. The software can be used to detect sounds such as a smoke alarm, a baby crying or glass-breaking, which in turn, trigger alerts to the user who can react to incidents as soon as they happen. It was recognised at the 2014 IET Innovation Awards for Consumer Electronics due to its creative design, as well as proving to be an example of how engineering can transform lives. Motivation Audio Analytic originated within the professional security market but has since developed and matured to enter the consumer market. The company was founded 5 years ago by Dr Chris Mitchell, following the completion of his self-funded PhD in sound information systems and signal processing. Recognising the social need to improve sound, he wanted to apply this knowledge to everyday applications. “The opportunity was clear. Whether it was to improve public safety, reduce economic waste by reducing response times to incidents or even improve the wellbeing of vulnerable adults, I knew the benefits of the technology would be felt widely,” comments Mitchell. Development Following his PhD, Mitchell received a prestigious Kauffman/NCGE Fellowship to investigate the commercial implications of his research. He subsequently received training at Harvard Business School and worked with Cisco Systems in San Jose, USA. It was here that Chris recognised a need for exploiting audio, rather than video to monitor and respond to changes within an environment and so, Audio Analytics was born. In identifying this gap in the market, Mitchell was able to apply the knowledge gained through his PhD and fellowship into understanding how audio technology could be used. It was here that Mitchell created the first prototype software, which was then implemented at a UK hospital. By immersing the prototype in this environment, Mitchell was able to gain the understanding of the technology’s boundaries, a challenge that he was able to overcome in order to stay ahead of the competition. When Mitchell returned to the UK, he set up the company in Cambridge. The company received its first round of funding in 2010, which was invested into version one of its professional security products Glass Break, Aggression, Car Alarm and Gunshot. This first iteration of the product enabled users to detect and monitor for these sounds so that if triggered, the user is able to respond quickly and with the best response. Essential Engineering Intelligence for Built Environment and Information & Communications Audio Analytic Case Study.indd 1 IET Sectors Case Study 25/06/2015 15:32 Results The team first experienced success when it secured a global licensing agreement with Zenitel, a leader and supplier of the STENTOFON® brand of security communication systems. The company chose to deploy the gunshot analytics, but it soon expanded its licenses to other analytics as part of its product offering. By 2012, the team began to emerge as a leader in sound recognition and categorisation. It had secured deals with world leading security manufacturers including Cisco, Next Level Security Systems and AxxonSoft which allowed the company to begin exploring the consumer market. A year later, Audio Analytic announced the version one release of its consumer product, which was able to detect Smoke and Carbon Monoxide, as well as a baby cry. In bringing this technology to the consumer market, customers such as Swann believed that the technology had real benefit to the general public; specifically analytics which detect crying babies or smoke alarm tones that will subsequently help to reduce distress and save lives. The team behind Audio Analytic identified the social and economic change the technology could bring and as such, believed it would make a worthy contender for the 2014 IET Innovation Awards. “The IET is known all over the world as the home of engineering and a big support system for progressive thinkers. It has enormous prestige and the team felt that entering the IET’s award programme would add credibility to our brand,” comments Mitchell. In its submission, Audio Analytic proved how the technology had improved public safety for members of the public looking to secure their home. The technology also proved benefits for the environment in cases of accident detection and faster response times, which led to shorter hospital stays. Lastly, the technology showed that it could improve the wellbeing of vulnerable adults. “Winning this prestigious, global accolade is a further demonstration of the innovation behind our sound sensing technology – and how it can benefit consumer electronics companies looking to add sound recognition to their products,” said Mitchell. “We are seeing growing interest in incorporating our technology into products within the connected home. This award will help us accelerate forward in the consumer electronics market as the company expands.” The Future Audio Analytic continues to push the bounders of its technology not only with its internal R&D team, but also by partnering with Academia. By the end of 2014, the team secured $1.4 million in funding the future development of the technology. It also teamed up with Queen Mary’s University London and was awarded a further $500,000 by the Technology Strategy Board in order to exploit a wider range of the application, stemming from the company’s core technology. “In the next five years we will continue to keep our core set of values and strive to remain the leader in sound recognition and categorisation. By expanding the amount of sounds detected and applications, we will be able to move towards a future in home automation that is completely controlled by the mobile device. The growing Internet of Things trend will go hand in hand with Audio Analytic, and the continued support from the IET will help us seize this opportunity.” Audio Analytic founder, Dr Chris Mitchell The Institution of Engineering and Technology (IET) is working to engineer a better world. We inspire, inform and infl uence the global engineering community, supporting technology innovation to meet the needs of society. The Institution of Engineering and Technology is registered as a Charity in England and Wales (No. 211014) and Scotland (No. SCO38698). Audio Analytic Case Study.indd 2 25/06/2015 15:32
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