Lane Violation Detection Using Convolutional Neural Networks
Summary
The USPTO published patent application US20260100058A1 filed by Hayden AI Technologies, Inc. on August 12, 2025. The application discloses systems and methods for detecting traffic lane violations using convolutional neural networks, with bounding boxes for vehicles and polygons for lane detection. Inventors include Vaibhav Ghadiok, Christopher Carson, and Bo Shen.
What changed
Hayden AI Technologies, Inc. filed a patent application with the USPTO disclosing a method for detecting traffic lane violations using convolutional neural networks. The system uses a first CNN to detect and bound vehicles in video frames with vehicle bounding boxes, and a multi-headed second CNN to detect and bound roadway lanes as polygons. Violations are detected based on overlap between vehicle bounding boxes and lane polygons.
Technology companies developing traffic monitoring, autonomous driving systems, or smart city infrastructure may need to review this patent for potential licensing implications or freedom-to-operate considerations. The technology has applications in automated traffic enforcement and intelligent transportation systems.
Archived snapshot
Apr 17, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
LANE VIOLATION DETECTION USING CONVOLUTIONAL NEURAL NETWORKS
Application US20260100058A1 Kind: A1 Apr 09, 2026
Assignee
Hayden AI Technologies, Inc.
Inventors
Vaibhav GHADIOK, Christopher CARSON, Bo Shen
Abstract
Disclosed herein are systems, methods, and devices for detecting traffic lane violations. In one embodiment, a method for detecting a potential traffic violation is disclosed comprising bounding a vehicle detected from one or more video frames of a video in a vehicle bounding box. The vehicle can be detected and bounded using a first convolutional neural network. The method can also comprise bounding, using the one or more processors of the edge device, a plurality of lanes of a roadway detected from the one or more video frames in a plurality of polygons. The plurality of lanes can be detected and bounded using multiple heads of a multi-headed second convolutional neural network. The method can further comprise detecting a potential traffic violation based in part on an overlap of at least part of the vehicle bounding box and at least part of one of the polygons.
CPC Classifications
G06V 20/588 G06N 3/08 G06V 10/25 G06V 10/764 G06V 10/82 G06V 20/58 G06V 2201/08
Filing Date
2025-08-12
Application No.
19298017
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