Acoustic AI and Visual AI Recognition Background
In the wave of digitization, single information perception is no longer sufficient to meet the needs of complex scenes, and the integration of acoustic AI and visual AI recognition systems has become an inevitable trend. With the popularization of IoT devices and the promotion of smart cities and smart security construction, urban transportation, public places, industrial production and other fields are facing massive amounts of audio and video data, and traditional manual analysis has low efficiency and large errors. Acoustic AI and visual AI recognition systems work together to quickly capture key information from abnormal sound and subtle changes in images, accurately identify dangerous behaviors, fault warnings, etc., effectively compensate for the limitations of a single modality, and provide powerful perception and decision-making capabilities for intelligent upgrading in various industries.
Introduction to Acoustic AI and Visual AI Recognition Equipment
Osen has cost-effective computing power products, standard algorithms, and application platforms in visual AI recognition, combined with powerful AI computing capabilities and advanced video image processing algorithms. We can provide comprehensive services from data collection, model training to application deployment. Our solution not only accelerates the intelligent analysis process, but also ensures high-precision object detection, behavior analysis, and other functions. Osen has rich sound collection front-end devices, cost-effective computing power products, sound recognition algorithm solutions, and application platforms in acoustic AI recognition, providing one-stop acoustic AI recognition solutions covering the entire chain of services from sound collection front-end devices to cost-effective computing power products, advanced sound recognition algorithms, and application platforms.
Acoustic AI and Visual AI recognize and identify scenes
Acoustic AI recognition application scenarios
Identity verification: Identify whether the person making or receiving phone calls is the designated one
Ecological nature: rain, waves, bonfires, water droplets, wind, thunderstorms, tidal sounds, waterfall sounds
Human behavior: infancy, crying, sneezing, clapping hands, coughing, footsteps, laughter, snoring, keyboard sounds, mouse sounds, flushing toilets, brushing teeth, conversation sounds
Urban noise: helicopters, sirens, horns, engines, trains, fireworks, music, musical instruments, buses, pianos, guitars, drums
Species classification: dogs, roosters, pigs, cows, frogs, cats, hens, insects, sheep, crows, crickets, crows chirping, and grasshopper sounds
Machine equipment abnormalities: abnormal bearings, gears, belts and chains, couplings, shafts, transformers, motors, hydraulic pumps, various pumps, cylinders, valves, transformer stations, workshop machines, other machine equipment abnormalities
Mechanical construction: knocking, door creaking, washing machine, vacuum cleaner, electric saw, manual, electric drill, air compressor, grinder, pile driver, hammer knocking, electric drill, electric hammer, electric weaving, electric welding, mortar mixer, cutting machine, single bucket excavator, spiral drilling machine, crane, compressor, rock drill, stone cutter, threading machine, water pump, marble machine, elevator, generator .....
Visual AI recognition application scenarios
Intelligent safety supervision: chemical plants, gas stations, port terminals, production parks, metallurgy, warehousing
Smart energy: oil fields, mines, power generation, substations .
Smart City: Urban Management, Construction Sites, Traffic Management, Building Access, Business Halls ..
Industrial manufacturing: wearing standards, behavioral norms, defect detection, OCR recognition, product classification
Smart urban management: detection of disorderly stacking of materials, smoke and fire detection, garbage exposure detection [street], accumulation of garbage and debris, detection of disorderly parking of non motorized vehicles, operation on occupied roads, detection of road water accumulation, detection of sexual and livestock invasion, detection of construction occupying roads, detection of illegal parking of vehicles, identification of helmet wearing during cycling, detection of personnel gathering, detection of road damage, identification of abnormal covers, and detection of abnormal traffic guardrails
Smart monitoring station: facial recognition, personnel standing up recognition, pedestrian intrusion, personnel crossing boundaries, fighting behavior recognition, personnel counting, personnel gathering, fall judgment, personnel leaving the post, personnel sleeping on the post, mobile phone recognition, safety clothing [work clothes], rapid movement of pedestrians, wandering detection, abnormal recognition of monitoring images, toilet timeout detection, screen shooting.
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