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[Digital Future Innovation Awards: KCA Director's Award] Deeply’s 'ListenAI'&nbsp;“We want to be a company that contributes meaningfully to the world by creating better technology and products”, Suji Lee, CEO of Deeply, a sound analysis AI startup, made a remark after receiving the KCA President's Award at the 8th Korea Digital Future Innovation Awards, hosted by the Ministry of Science and ICT and organized by the Korea Software Industry Association (KOSA).&nbsp;Founded in 2017 with the mission of "adding meaning to sound," Deeply has built a reputation as a technology-driven startup specializing in sound analysis. Starting with a service that could analyze baby cries to determine their cause, Deeply has evolved to focus on detecting abnormal sounds from machinery in manufacturing facilities and analyzing emergency-related sounds for enhanced safety.&nbsp;<figure class="image"><img style="aspect-ratio:1918/1019;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/bcbda726-da4f-4cae-b9e5-2f5e5693da88.png" width="1918" height="1019"></figure>ListenAI Installed at the Government Sejong Complex Sports Center (Photo by Deeply)&nbsp;The award-winning production, "ListenAI," goes beyond the traditional CCTV monitoring by analyzing sounds within the scene to immediately alert control rooms of potentially dangerous incidents. While multiple CCTV cameras record footage across facilities, they are generally used only in post-incident reviews. ListenAI, however, provides real-time detection of collision sounds, explosions, screams (distinguished by gender), and noises indicating fights or disturbances, directly notifying facility managers of ongoing threats.&nbsp;This AI solution helps prevent incidents that might otherwise go unnoticed due to limited personnel. It also allows for quick coordination with police and medical services, covering areas not visible to cameras, low-light situations, and locations difficult to monitor with video alone.&nbsp;Sound analysis technology, which includes real-time analysis of audio sources, is in its early stages domestically and is known to be complex due to factors like noise and location variability. Deeply has overcome these challenges to commercialize a solution robust enough for field use, making it possible to analyze sound patterns and detect incidents in environments with mixed and overlapping sounds.&nbsp;This year, Deeply’s contributions have also been recognized at ICASSP 2024 with a published paper showcasing their advanced sound recognition technology, which analyzes sounds from multiple microphones to assess situations at one of the highest levels globally. Additionally, they hold a versatile deep-learning patent titled “Real-Time Sound Analysis Method and System.”&nbsp;— Heejung Ahn, ZDNet Korea<a href="https://zdnet.co.kr/view/?no=20241007130920">https://zdnet.co.kr/view/?no=20241007130920</a>&nbsp;

Deeply: "We Aim to Make a Positive Impact on the World by Analyzing Sound"

관리자

Effective ways to prevent accidents and crimes&nbsp;<figure class="image"><img style="aspect-ratio:600/298;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/5d9d3b6f-9c81-40cf-8032-32c1b81a24bc.png" width="600" height="298"></figure> Listen to AI, an artificial intelligence solution that understands the meaning of sound.Capable of detecting over 100 distinct sounds while filtering out ambient noise to focus on target voicesDeeply, a technology startup, is researching solutions to analyze various sound sources and voices. It has developed ‘Listen AI’, a sound-based situation detection artificial intelligence solution that analyzes the shape of sound using deep learning and responds to various events and accidents. Listen AI detects various sound sources like the human ear and analyzes what the current sound means. It detects a wide range of sounds, including screams, moans, commotions, vehicle crashes, explosions, and gunshots, and connects it to CCTV and dash cameras with edge devices. This creates a system that can detect situations and send information to the respective center for quick response. Listen AI can detect and customize over 100 types of sound, and can quickly integrate with and respond to devices in the control center via an application programming interface (API) and software development kit (SDK). Listen AI is unique in its ability to filter out even the most meaningless ambient noise.&nbsp;<figure class="image"><img style="aspect-ratio:600/459;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/6db6db34-ce12-4ff0-8f96-a6b56d058cff.png" width="600" height="459"></figure>Deeply CEO Lee Suji says “Unlike cameras, speech analytics has no blind spots, which is a big advantage, but it’s hard to filter out ambient noise. However, our solution can clearly distinguish between sounds coming from various media such as TVs and speakers, and emergency calls amidst the noise of everyday life. Because it can clearly distinguish between noise and target sounds, the false positive rate is very low and allows us to react immediately.”&nbsp;&nbsp;<figure class="image"><img style="aspect-ratio:600/209;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/c939888d-c8c5-4f60-9576-6ecd923426ba.png" width="600" height="209"></figure>Boasting TTA authentication accuracyListen AI is TTA-certified, highly accurate and technologically advanced, with over 98% accuracy on F1 scores. Deeply has the world’s largest collection of nonverbal sound data, verified by more than 200,000 users worldwide, and includes 42 nonverbal sound datasets with more than 50,000 hours of audio. In addition to safety solutions, the innovative Listen AI provides machine solutions that detect abnormal sounds from machines or equipment to continuously monitor the entire process and equipment status. The innovative Listen AI system is currently deployed in 10 restrooms across the Incheon subway system, and in the Sejong Government Complex, it is also installed in places where CCTV cannot be installed, such as toilets. Deeply is also operating a system in collaboration with Korail that analyzes the sound of vehicles for malfunctions and abnormalities and predicts failures on high-speed rail, collecting all sounds generated when various parts malfunction and building them into big data. More recently, Deeply’s solution has also been applied to military drones, where it can be mounted on large unmanned drones and used by air traffic controllers to check for abnormalities. CEO Lee Suji published a paper at ICASSP 2024, an international conference on signal processing, in July of this year, and won the Director’s Award at the Digital Future Innovation Awards. 신태섭 기자&nbsp; <a href="mailto:tss79@naver.com">tss79@naver.com</a><a href="http://www.powerkoream.co.kr/news/articleView.html?idxno=1108798">http://www.powerkoream.co.kr/news/articleView.html?idxno=1108798</a>&nbsp;

Introducing LISTEN AI: The AI-Powered Sound Analysis Safety Solution

메인관리자

<figure class="image"><img style="aspect-ratio:640/358;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/817a1b99-80fa-478c-a482-f9b964e0a346.png" width="640" height="358"></figure>&nbsp;On the 20th, sound analysis AI company, "DeeplyAI", founded by the CEO, Suji Lee, announced the installation of ten units of their emergency detection solution, “ListenAI,” in the restrooms of Incheon National University Station. &nbsp;This initiative is part of a project led by Incheon Transit Corporation called the 'Demonstration of Emergency Situation Detection for Subway Restrooms Using Sound-Based AI.' With the increasing proportion of elderly users in urban transit, concerns about the possibility of emergency situations due to health issues have been continuously raised, alongside growing public fears of violent crimes occurring in restrooms. &nbsp;Incheon Transit Corporation designed this project to establish a system capable of rapid situation assessment and response through the use of AI. ListenAI has now become a core resource in restroom safety and security at Incheon National University Station. Previously, restroom safety relied primarily on public reporting and routine staff checks. With the implementation of ListenAI, however, real-time monitoring has become possible. ListenAI detects sounds on-site in real-time, and if it identifies an abnormal situation, it immediately triggers an alarm. It provides the station office with analysis results including the time, location, and type of incident, allowing station staff to respond swiftly. Suji Lee, CEO of Deeply, explained, “ListenAI combines high analytical accuracy with a lightweight model that can run smoothly on low-power edge servers, like those in smartphones. This makes it accessible to organizations without high-performance servers. ListenAI can also distinguish critical sounds in noisy environments, making it a 24/7 emergency monitoring solution for diverse settings, such as construction sites, factories, and public streets.”&nbsp;<a href="https://zdnet.co.kr/view/?no=20240920114643">https://zdnet.co.kr/view/?no=20240920114643</a>