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Phantom AI Raises $36.5M in Series C

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Phantom AI, a Silicon Valley startup providing a comprehensive autonomous driving platform featuring computer vision, sensor fusion, and control capabilities, secured $36.5 million in series C funding to accelerate its current production development with major OEMs. The company has raised a total of $80.2 million since its founding in 2017.

Phantom AI has introduced individual modules for its computer vision, sensor fusion, and control mechanisms. The company’s PhantomVision solution is a scalable, deep learning-based computer vision solution that provides a suite of advanced driver-assistance system (ADAS features). It is a visual perception engine that enables single or multiple cameras to autonomously recognize road objects and sophisticated traffic directions in the vicinity of its driving path. The multicamera system covers a 360° view from the vehicle in a combination of front-, side-, and rear-view cameras.

The company has also developed the PhantomFusion sensor fusion and object tracking system, as well as the PhantomDrive vehicle control solution.
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Published: February 2023
Glossary
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
computer vision
Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training algorithms...
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