How Humans Assist the Workflow of AI Video Analytics

What Is AI Video Analytics

Video Analytics is a technology designed to help you monitor and analyze video data captured by cameras. After visual data is captured and analyzed, video analytics extracts it into usable information.

With the help of AI, this technology can analyze patterns and improve its performance through continuous training and evaluation processes. This enables AI video analytics to categorize and detect objects captured by cameras more quickly and accurately, while generating insights in visual forms for easier utilization.

How Do Humans Assist This Process?

Despite its advanced and automated processes, humans are not directly involved in real-time analysis but play a crucial role behind the scenes.

In AI video analytics, humans contribute by:

• Preparing Training Data
  Training data is required for AI as learning material to process information. The quality of this training data influences the accuracy of data analysis results. The higher the quality of the training data, the better the output produced by the AI.
• Conducting Monitoring Process
  Mistakes are not inherently wrong; they are part of the learning process. Oversight is necessary to ensure data analysis remains fast and accurate. With human assistance in monitoring and providing retraining, AI can learn from errors and continuously improve over time.
• Performing Hardware Maintenance
  AI Video Analytics involves physical devices such as surveillance cameras. Maintenance tasks, such as checking all connected hardware and cleaning camera lenses, are small yet essential aspects to consider.

Furthermore, AI can also be leveraged to manage and analyze the data produced by video analytics, providing actionable recommendations and generating new value for businesses.

Key Points

Although AI in video analytics can optimize and automate many tasks, its process still requires human involvement. This includes preparing data, monitoring performance and accuracy, and conducting hardware maintenance to ensure insights obtained from video analytics remain accurate and performance is consistently maintained.

Given its significant role, AI video analytics does not eliminate human jobs but opens new ways of working through collaboration between humans and technological advancements. This allows professionals to focus on critical tasks instead of being burdened by monotonous workloads