Ad
related to: ctx 3030 detecting videos
Search results
Results From The WOW.Com Content Network
The eXaminer 3DX 6000 explosive detection system developed by L-3 operates similarly to the CTX system. In 2013 Rapiscan Systems made the first delivery of its RTT product. [2] This machine operates with a non-rotating 360 degree multi source X-ray tube and detector array CT imaging system so the only moving part is the conveyor belt.
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
Shot transition detection is used to split up a film into basic temporal units called shots; a shot is a series of interrelated consecutive pictures taken contiguously by a single camera and representing a continuous action in time and space.
Video copy detection is the process of detecting illegally copied videos by analyzing them and comparing them to original content. The goal of this process is to protect a video creator's intellectual property.
A portable aSi flat-panel detector is used to visualise the movement of liquids in sand cores under high pressure. Flat-panel detectors are a class of solid-state x-ray digital radiography devices similar in principle to the image sensors used in digital photography and video.
LDPC codes are now used in many recent high-speed communication standards, such as DVB-S2 (Digital Video Broadcasting – Satellite – Second Generation), WiMAX (IEEE 802.16e standard for microwave communications), High-Speed Wireless LAN (IEEE 802.11n), [14] 10GBase-T Ethernet (802.3an) and G.hn/G.9960 (ITU-T Standard for networking over ...
Video content analysis or video content analytics (VCA), also known as video analysis or video analytics (VA), is the capability of automatically analyzing video to ...
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]