Prexable Blog – Page 3
Practical articles on video AI, computer vision, object detection and tracking, and explainable AI from the Prexable team.
How to extract prominent information from a video stream?
Multimedia content is being produced and consumed more frequently as a result of the internet’s easier accessibility and abundance of sophisticated imaging equipment brought about by technology’s exponential growth. The effectiveness of numerous video processing applications, such as video searching, retrieval, indexing, sharing, and many more, is impacted by the time-consuming process of analyzing representative or meaningful information from such massive data. To address these problems, a variety of video summarization techniques have been proposed in the literature.
Prexable Passed the 3-Month Virtual Accelerator Program
We are happy to announce that Prexable team has finished the three months virtual accelerator program at Innovation Cluster (https://innovationcluster.ca/). We successfully passed the 2303 cohort and we could achieve IC support for growing our business in Canada.
Leveraging Edge Video Analytics for Enhanced Public Safety
In the era of advanced technology, video analytics has evolved to become a vital tool for ensuring public safety. By integrating Computer Vision (CV) and Artificial Intelligence (AI), video analytics aims to address the “four W” problem: Who did What, Where, and When. These capabilities have diverse applications, ranging from post-event analysis for archiving and forensic investigations to real-time video stream analysis for situation awareness and object detection. However, this evolution has brought new challenges and demands, particularly with the need for sophisticated image processing algorithms.
The Power of Automated Machine Learning (AutoML)
Automated Machine Learning (AutoML) is a specialized field within the realm of artificial intelligence that leverages automation to streamline various processes and tasks typically performed by data scientists and machine learning experts. Its primary objective is to find solutions to complex problems while aiming to achieve optimal results, all with minimal human intervention.
Video Transformers
Video Transformer is a recently developed deep learning model for processing and analyzing video data. It is based on the Transformer architecture. In the context of video understanding, transformers excel at capturing long-range dependencies and relationships within video sequences. They can effectively encode and understand the temporal and spatial information present in videos.
The Role of AI in Surveillance and Security
An average attention span for adult humans is something between 30 and 50 minutes, and when a person performs a task that is dull and repetitive for that period of time, their attention will decrease, which opens up a room for making errors. Especially in the field of security and surveillance, these errors can be consequential. Therefore, in order to eliminate these problems, industries utilize artificial intelligence (A). AI technologies can analyze vast amounts of data in real-time, enabling the detection of suspicious activities and potential threats that may go unnoticed by human operators. This proactive approach allows for early intervention and the prevention of security breaches, ensuring the safety of individuals and assets.
Artificial Intelligence and Privacy – Issues and Challenges
We advise our readers to read a new paper on Privacy Challenges and Issues in AI that was recently published. In the article, a few AI and IT experts examine numerous privacy concerns and how to address them, such as responsibility in AI. It is vital to ensure that artificial intelligence is created and applied properly. This entails ensuring that personal data is collected and utilized in a transparent and ethical manner, with clear parameters for how it can be used and shared.