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Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...
Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence algorithm that can quickly detect and react to traffic lights.
Object detection, particularly open-vocabulary object detection ... (Optional) For high resolution remote sensing images, we crop to 1024x1024 size, python LAE-Label/crop_huge_images.py --input_folder ...
Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion ...
Abstract: Object detection methods using deep convolutional neural networks (CNNs) have derived major advances in normal images. However, such success is hardly achieved with adverse weather due to a ...
Abstract: Object detection and recognition are crucial for autonomous vehicles, surveillance systems, and human-computer interaction. We present a new fully complementary metal-oxide semiconductor ...
His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] notes that this opens up a lot of creative low-cost detection applications for ...
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