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"Role of Thermal Images in Various Applications of Computer Vision" by Ravina Gupta, Sarika Jain et al.

Object detection is an advanced area of image processing and computer vision. Its major applications are in surveillance, autonomous driving, face recognition, anomaly detection, traffic management, agriculture etc. This paper focuses on various object detection techniques in thermal images. A thermal imaging sensor is a device that creates an image by analyzing temperature differences between different objects in a scene and detecting radiation from those objects. In recent years, many machine learning and deep learning algorithms have been used to recognize objects in thermal images. This study makes a comparison of YOLO, YOLO DarkNet, Retinex algorithm, CNN-based machine learning model Support Vector Machine (SVM), and Gaussian Mixture Model (GMM), Mixer of Gaussian (MoG), Mean Shift Approach, Faster R-CNN and Deep Neural Network along with different datasets. ....

Neural Network , Support Vector Machine , Gaussian Mixture Model , Mean Shift Approach , Deep Neural Network , Dark Net , Infrared Images , Millimeter Wave ,

Cyngn-Arauco Deal Tackles Labor Shortage With Driverless Forklifts

Tech company Cyngn has stuck a major deal to help logistics giant Arauco deal with labor shortages by providing forklifts that drive themselves. ....

Blair Mcintosh , Motrec International Inc , Menlo Park , Enterprise Autonomy , Cyngn Insight , Cyngn Evolve , Motrec International , Motrec President , Valley Based Phantom Auto ,

Revolutionizing Rehab: Exoskeletons For Neuromuscular Therapy

Advances in exoskeleton technologies will soon help those with impeded neuromuscular connections to walk autonomously once again. ....

Shuzhen Luo , Us Army , Jersey Institute Of Technology , New Jersey Institute ,