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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

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<figure class="image"><img style="aspect-ratio:800/524;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/598bf2e5-d577-4e87-bdf8-4ab7aa8ad07c.jpg" width="800" height="524"></figure>▲ (From left) Suji Lee, CEO of Deeply, and Myunghoon Ryu, CIOInterview with Suji Lee, CEO of DeeplyAs AI technology moves beyond visual recognition into auditory analysis, it becomes increasingly integrated into daily life and work environments. Deeply, an AI startup focused on sound-based solutions aims to enhance efficiency and create new value across various industries. We spoke with Suji Lee, CEO of Deeply, about the company’s founding, technological evolution, and long-term plans.&nbsp;Preventing Risks with 'ListenAI'Deeply, it has gained attention for developing AI solutions that use sound data for emergency detection and industrial applications. Their flagship product, ListenAI, analyzes real-time patterns such as screams, collisions, and machinery noises to address safety issues in industrial and public spaces. With a focus on B2B solutions, Deeply aims to implement predictive maintenance systems that boost efficiency and safety in manufacturing.&nbsp;What sets ListenAI apart is its ability to analyze complex audio environments and recognize patterns to make real-time assessments, going beyond just detecting volume or vibrations. This capability has been deployed in subways, large shopping centers, and factories, offering precision previously lacking in AI systems. This precision improves industrial safety and enables predictive maintenance, strengthening Deeply's competitive advantage.&nbsp;ListenAI has demonstrated its capabilities through deployments at various public and private sites.. Notable examples include installations at the Government Sejong Complex, Kangwon Land, and Incheon National University Station. At the Government Sejong Complex Sports Center, over 10 units of ListenAI were installed to monitor blind spots that CCTV cannot cover, ensuring comprehensive emergency detection. At Kangwon Land, the system detects and preempts conflicts between patrons, allowing for immediate intervention. In Incheon, ListenAI identifies sounds such as female screams and violent altercations, promptly alerting control centers. “The system can analyze and trigger warnings within seconds of sound detection, helping prevent real-life threats,” said CEO Lee.&nbsp;Predictive Maintenance in ManufacturingDeeply’s sound analysis technology is also making waves in the manufacturing sector through its predictive maintenance applications. Their solution detects potential malfunctions in rotating machinery and motors by analyzing abnormal sound patterns. For instance, ListenAI can identify vibration patterns indicative of potential bearing failures, issuing warnings before breakdowns occur. This approach has earned high praise from manufacturers, outperforming traditional vibration-based monitoring systems in both speed and precision.&nbsp;“Minor issues in machinery that go undetected can lead to significant accidents. However, current vibration sensors can’t detect all internal noises or abnormal behaviors. Our AI solution comprehensively analyzes sound signals to precisely diagnose machine status,” explained Lee. This technology helps plant operators avoid unexpected equipment failures, reducing downtime and maintenance costs.&nbsp;“Establishing a Robust Safety Framework with High-Quality Data”Deeply’s AI solutions prioritize contextual understanding of sound, built on a vast dataset exceeding 50,000 hours. This extensive collection includes not only conventional sound data but also situation-specific and global environmental audio, ensuring high accuracy and reliability. The company’s strong dataset foundation is one of its key strengths. Early in its journey, Deeply enhanced its AI capabilities with sound data collected from home environments during its initial B2C phase.&nbsp;As it shifted to B2B, Deeply expanded its data collection efforts internationally, including field data from locations like India. Gathering audio from crowded streets with varied noises such as car horns and emergency alerts, Deeply developed models capable of accurately detecting emergencies in complex global environments. This expertise has positioned Deeply in voice recognition and as a comprehensive solution for analyzing and classifying all forms of unstructured sound data.&nbsp;Today, Deeply offers tailored solutions across industries, customizing models to meet client needs. For example, in manufacturing, the system collects and analyzes data from on-site microphones and servers to detect anomalies and assist with prompt interventions. Integrating with traditional vibration and ultrasonic sensors enhances predictive accuracy, and Deeply’s AI continuously learns to improve its precision. In the safety sector, ListenAI works in tandem with CCTV systems, combining visual and audio data for greater reliability, showcasing Deeply’s multimodal approach.&nbsp;Looking ahead, Deeply aims to further leverage its sound recognition technology to enhance safety and productivity across industries. “AI has evolved from a supporting tool to one that supplements human senses, like hearing,” said CEO Lee. “We’re advancing toward an AI that can understand and respond to complex sound environments autonomously.” To achieve this, Deeply plans to expand its datasets, develop new algorithms, and strengthen partnerships to provide customized solutions for various sectors.&nbsp;Deeply is also developing an integrated solution combining hardware and software to accelerate market entry. Beyond offering software, the company supplies custom microphones and servers to ensure optimal performance in diverse environments. For example, high-frequency and vibration-detecting microphones are used in manufacturing settings, while noise-filtering features are incorporated for noisy sites like construction areas or subways, enhancing accuracy.&nbsp;By providing tailored solutions for different industry needs, Deeply seeks to expand the applications of AI sound recognition technology. “Our ultimate goal is to go beyond just offering sound analysis AI solutions to becoming a comprehensive platform that revolutionizes safety and efficiency across all industries,” concluded CEO Lee.&nbsp;— Jaechang Seo, HelloT News &nbsp;<a href="https://www.hellot.net/news/article.html?no=9515">https://www.hellot.net/news/article.html?no=9515</a>&nbsp;

[HelloAI] Deeply Sets a New Standard in Safety with 'Sound Understanding AI'

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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;