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"Floodborne Objects Type Recognition Using Computer Vision to Mitigate " by Umair Iqbal, Muhammad Zain Bin Riaz et al.

The presence of floodborne objects (i.e., vegetation, urban objects) during floods is considered a very critical factor because of their non-linear complex hydrodynamics and impacts on flooding outcomes (e.g., diversion of flows, damage to structures, downstream scouring, failure of structures). Conventional flood models are unable to incorporate the impact of floodborne objects mainly because of the highly complex hydrodynamics and non-linear nature associated with their kinematics and accumulation. Vegetation (i.e., logs, branches, shrubs, entangled grass) and urban objects (i.e., vehicles, bins, shopping carts, building waste materials) offer significant materialistic, hydrodynamic and characterization differences which impact flooding outcomes differently. Therefore, recognition of the types of floodborne objects is considered a key aspect in the process of assessing their impact on flooding. The identification of floodborne object types is performed manually by the flood managemen ....

Wollongong City Council , Objects Recognition Dataset , Mean Average Precision , Blockage Of Hydraulic Structures , Computer Vision , Loodborne Objects , Object Detection ,

User-friendliness as a basic requirement for AI Vision

When we talk about cameras with AI, it means that we no longer refer to them as merely image providers. Click to read more. ....

Imaging Development Systems Gmb , Development Systems Gmbh , Object Detection ,

Rising Demand for Security Applications and Products Enabled with Image Recognition Functions is Proliferating the Global Image Recognition Market

/PRNewswire/ According to a new report published by UnivDatos Markets Insights, the Image Recognition Market was valued at USD 25 billion and is expected to. ....

United States , United Kingdom , Ankita Gupta , Microsoft Corporation , Toshiba Corporation , Sony Group Corporation , Customized Business Research , Data Solutions , Technology Digital Image Processing , Adobe Inc , Browse Other Related Research , Honeywell International Inc , Alphabet Inc , Univdatos Markets Insights , Image Recognition Market , Digital Image Processing , Facial Recognition , Pattern Recognition , Object Detection , Image Search , Augmented Reality , Report Description , Sample Pages , North America , Univdatos Market , Global Image Recognition ,

MBES Feature Detection Using Machine Learning | Hydro International

Manually examining the seafloor for objects such as wrecks requires a great deal of time and labour, both at sea and in the office. As time is a limit. ....

North Sea , Oceans General , Union Io , Royal Netherlands Navy , Ocean Technology , Multibeam Object Detection Inferencer , Kernel Point , Although Walsum , Object Detection , Machine Learning , Multibeam Echosounder , Artificial Intelligence ,

Global Ultrasonic Sensors Market to Reach $14.24 Billion by 2027 at a CAGR of 19.84%

/PRNewswire/ The "Global Ultrasonic Sensors Market (2022-2027) by Product Type, Application, End User, Geography, Competitive Analysis and the Impact of. ....

United Kingdom , United States , Robert Bosch Gmb , Fuchs Gmb , Laura Wood , Inrix Inc , Te Connectivity Ltd , Balluff Inc , Baumer Ltd , Rockwell Automation Inc , Development Activities For Technological Advancement In Sensors , Product Development , Aerospace Defense , Consumer Electronics , Banner Engineering Corp , Market Development , Office Hours Call , Research Methodology , Company Profiles , E St Office Hours Call , Texas Instruments Inc , Crest Ultrasonics Corp , Honeywell International Inc , Denso Corp , Hielscher Inc , Qualcomm Inc ,