IP Video Training - Video Analytics
Unlock the potential of Video Analytics with our comprehensive elearning course. Explore intelligent video processing, AI, machine learning, and the capabilities of video analytics software.
Read more about the course in the course details below.
Discover the transformative power of Video Analytics with our in-depth elearning course. Intelligent Video Analytics, also known as Video Content Analytics, harnesses computer processing to automate event detection, extraction, and classification in a scene. By analyzing events against predetermined parameters, Video Analytics triggers actions when the criteria are met.
Immerse yourself in the Advanced Analytics module, where you'll explore the core concepts surrounding Video Analytics. Delve into topics such as advanced analytics fundamentals, artificial intelligence (AI), machine learning, neural networks, and deep learning techniques. Understand the capabilities and potential applications of Video Analytics, ranging from data mining to forensic searches and efficient video file management.
With our comprehensive elearning course, you'll gain a profound understanding of Video Analytics and its transformative potential. Unlock the power of intelligent video processing, leverage AI and machine learning, and explore the functionalities of cutting-edge video analytics software.
Join us today and expand your knowledge of Video Analytics. Stay at the forefront of this rapidly evolving field and unlock new possibilities in security, data analysis, and more.
This course is a component of the IP Video Training Bundle. It may be taken on its own or ordered as part of the IP Video training bundle for a lower overall cost.
Use the grid below to determine which states have CEU approval for this course, along with how many credit hours it has, and any other special instructions.
|North Carolina||1||This course is approved for 1.00 hours of continuing education by the North Carolina ASLB. If you will be taking this course for CEUs in North Carolina, you must notify us and provide your license number and company name so we may submit the appropriate documentation. Please email email@example.com or call 502-254-1590.|