Solutions
Real-time road and hazard detection
intelligent transportation system platform Debox
The purpose of this platform is to acquire real-time environmental information about roads, analyze it using artificial intelligence, and integrate it with a vehicle navigation application. It aims to provide drivers with real-time information about road hazards, thereby preventing traffic accidents in advance.
About Debox
It is a real-time road and hazard detection intelligent transportation system platform.-
The platform collects real-time video footage from drivers, which undergoes refining and normalization processes. Using artificial intelligence (AI) technology, it analyzes all road environmental information based on time and location.
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To analyze and train on large volumes of road video data without compromising image quality, significant computing resources are required. In this regard, utilizing a self-built distributed cloud environment allows for time reduction and cost savings.
Debox Characteristics
The aim is to provide drivers with real-time information about road hazards to prevent traffic accidents in advance.
Upload Site
(Object labeling)
and result output
Collecting traffic and hazard information to provide real-time traffic conditions to drivers
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Video collection : Real-time collection and incentivization of driver video
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Refinement and preprocessing tasks : Object recognition of vehicles, traffic lights, pedestrians, obstacles, and various objects for preprocessing in artificial intelligence analysi
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Deep learning execution and result generation : Utilizing artificial intelligence technology to perform deep learning and deliver the resulting outputs to customers
Debox Service
Debox, a road and hazard detection intelligent transportation system platform, aims to acquire real-time environmental information about roads, analyze it using artificial intelligence, and integrate it with a vehicle navigation application. It aims to provide drivers with real-time information about road hazards, thereby preventing traffic accidents in advance.
