
Public Security for City
Detect emergency sound in the city such as screams, maons, accidents, explosions, and etc.
The most advanced deep learning technology for sound event detection and context recognition
Our solution is based on the largest non-verbal dataset (+50,000 hours, 42 types). It works reliable even in loud and noisy surroundings.
Our deep learning model immediately detects sound event even in resource constrained devices. Experience the Sound AI engine verified by more than 200,000 users worldwide.
Our AI engines can be integrated to various products through SDK, Server SDK, API and Hardware Chip.
Deeply's advanced sound AI technology revolutionizes the unmanned surveillance industry
Detect emergency sound in the city such as screams, maons, accidents, explosions, and etc.
Define the condition of the engine and manage its lifespan thorugh the detection of noise and vibration.
Distinguish genders and age group through the speaker's voice and identify the speaker's charateristics.
In the real world, there is so much information that cannot be understood through text. With the help of Deeply Sound AI soulution, you can analyze and utilize the sound context information which text-based AI solution cannot examine.
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Speaker
Suji Lee
CEO and co-founder, Deeply
Presidential Committee on the 4th Industrial Revolution
Board Member
Suji Lee
CEO and co-founder, Deeply
Public Data Strategy Committee
Board Member
Suji Lee
CEO and co-founder, Deeply
Science and Technology 12-Persons Meeting with the President
Invited Panel
Suji Lee
CEO and co-founder, Deeply
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Deeply has successfully developed a technology that detects specific sounds in special environments such as smart city, smart factory, power plant and the military.
Apply the sound AI technology to various industries now.