Intelligent video analytics involves processing video content in real-time, extracting metadata, sending out alerts, and delivering actionable intelligence insights to security staff or other systems. Intelligent Video Analytics products apply artificial intelligence to cameras to recognize temporal and spatial events. A popular example of Intelligent Video Analytics is VMD (video motion detection), a form of intelligent CCTV.
To learn deeply about analytic development in particular and the remarkable development of deep learning solutions.
Get a better understanding of Real-world problems and their solutions.
To gain knowledge about applications of video analytics.
To gain knowledge about
the techniques used to detect parking violations, traffic delays, and weather conditions.
To easily categorize content using thousands of predefined labels and the AutoML Video Intelligence to reap items’ benefits.
In-depth knowledge of Deep Learning techniques applied to Intelligent Video Analytics.
Get familiar with the state-of-the-art deep learning techniques.
Introduction to OpenCV and Apache Spark.
Learn to deploy models using TensorRT.
Build applications for object detection and action recognition.
Gain practical experience with Intelligent Video Analytics projects.
CCTV is seen either as a symbol of Orwellian dystopia or a technology that will lead to crime-free streets and civil behavior. While arguments continue, there is very little solid data in the public domain about the costs, quantity, and effectiveness of surveillance.
This 9-week fellowship program will benefit students who want to pursue a career in Intelligent video analytics or looking to build skills in other cutting-edge technology involving deep learning.
This 9-week fellowship program helps researchers interested in deep learning and their implementation on GPUs in intelligent video analytics to build related applications.
After enrollment in a 9-week fellowship program of Intelligent Video Analytics, practitioners would resolve complex real-world issues in the field of video analytics.
After completing this 9-week fellowship program, you will build Intelligent Video Analytics applications using Deep learning techniques. This will mark your start to solve real-world problems, such as evaluating real-world data by deploying object recognition and tracking networks.
Machine Learning and Deep Learning Program, which consists of 10 workshops which cover topics from the fundamentals of machine learning to the latest advances of deep learning technologies and their applications.
Coding Interview Preparation Program, which not only prepares Fellows for a technical interview, but also helps them become better engineers through training and teaching how to approach technical problems.
Project-based Program, which offers a professional training opportunity to work on a hands-on project that builds cutting-edge skills in the domain of Fellows’ choice. Fellows benefit from the unique opportunity to work with industry experts in the field.
Industry Partner Program. ValleyML partners with AI teams from the leading companies, who give presentations on their companies as well as tech tutorials for the domain and technologies they are working on. Fellows have opportunities to showcase their completed projects to the industry partners, leading to an interview call.