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Video analytics solutions are invaluable in helping many sectors, especially as the complexity of applications growing in recent years.
FREMONT, CA: In the last few years, video analytics has attracted increasing interest from both sector and the academic world. Thanks to the massive innovations made in deep learning, video analytics has launched the automation of tasks that were the previously exclusive purview of humans. Recent enhance in video analytics have been a game-changer, ranging from applications to automatic license plate recognition, along with other scenarios like facial recognition or smart parking. Here is how it is used in the real world to automate operations and get valuable insights and what firms should consider when deploying intelligent video analytics solutions in the organization.
Usually, these systems conduct real-time monitoring in which objects, object attributes, movement patterns, or behavior connected to the monitored environment are identified. However, video analytics can also be leveraged to analyze historical data to unearth insights. This forensic analysis task can identify trends and patterns that answer business questions. Some uses in the field of video analytics are extensively known to the public. One such instance is video surveillance, a task that has existed for 50 years. If a massive amount of hardware is available and creating signals, a bottleneck is formed when processing signals due to human hindrances.
Machine learning and the spectacular development of deep learning methods have revolutionized video analytics. Deep Neural Networks has made it possible to train video analysis systems that mimic human behavior, resulting in a paradigm transformation. It began with systems based on classic computer vision techniques and moved to systems potent to find specific objects in an image and track their path. In the paradigm, this might work if the camera was located in a way that, at the time of executing the OCR, it is certain that users are filming a license plate.
Facial and license plate recognition techniques can be leveraged to identify people and vehicles inreal-time and make apt decisions. It is possible to look for a suspect both in real-time and in stored video footage or find authorized personnel and access a secured facility.