JVCKENWOOD had 14 patents in artificial intelligence during Q2 2024. JVCKENWOOD Corp’s patents in Q2 2024 include technologies such as a neural network-based classification system, a brain-information based operation control device, a vehicular recording control system with sightline recognition, and a learning apparatus using functional near-infrared spectroscopy for brain activity analysis. GlobalData’s report on JVCKENWOOD gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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JVCKENWOOD had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Image processing apparatus, image processing method, and non-transitory computer-readable medium having image processing program (Patent ID: US20240212323A1)
The patent filed by JVCKENWOOD Corp. describes an image processing apparatus that includes a basic class selection unit, a continual learning unit, an additional class selection unit, and a classification determination unit. The basic class selection unit selects a base class using an embedding vector from a basic neural network and a centroid vector. The continual learning unit learns an additional class using an additional neural network. The additional class selection unit selects an additional class based on the embedding vector from the additional neural network and centroid vectors. The classification determination unit classifies input data based on the selected base and additional classes.
Additionally, the apparatus may include a centroid derivation unit and a centroid vector correction unit to derive and correct centroid vectors, respectively. The additional class selection unit may delete centroid vectors of base classes equal to the number of additional classes in continual learning. The classification determination unit determines the result of classification based on the selected base and additional classes. The patent also covers an image processing method and a computer-readable medium with an image processing program implementing the described modules for class selection, continual learning, and classification based on neural networks and centroid vectors.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
