ADA AI

Plug and Play with Existing CCTV Camera System

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ADA AI

Non-GPU based Video Analytics Engine

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Video Analytics:
What is Video Analytics?

Video analytics (VA) is a type of video analytics that uses artificial intelligence (AI) to analyze video footage and identify patterns and trends. VA can be used to detect a wide range of events, including people, vehicles, objects, and activities.

VA is more sophisticated than traditional video analytics because it can use AI to learn and adapt over time. This means that VA systems can become more accurate at detecting events and identifying patterns as they are exposed to more data.

VA has a wide range of applications in both the workplace and security. In the workplace, VA can be used to improve safety, security, and productivity. In security, VA can be used to deter crime, protect critical infrastructure, and monitor large crowds and events.

Application

VA has a wide range of applications in both the workplace and security. In the workplace, VA can be used to improve safety, security, and productivity. In security, VA can be used to deter crime, protect critical infrastructure, and monitor large crowds and events.

Real-time video analytics

Real-time video analytics is the process of analyzing video footage as it is being captured. This allows security personnel to identify and respond to threats as they are happening. Real-time video analytics can be used to detect a wide range of events, including intrusions, safety hazards, and compliance violations.

Video Mining

Video mining is the process of analyzing historical video footage to identify patterns and trends. This information can be used to improve workplace safety, security, and efficiency. For example, video mining can be used to identify areas where accidents are more likely to occur or to identify customer behavior patterns that can be used to improve marketing campaigns.

Video Analytics: How it can help to improve work and security?

Video analytics is the use of artificial intelligence (AI) to analyze video footage and identify patterns and trends. It can be used to detect a wide range of events, including:
Intrusions and unauthorized access
  • Detect people crossing a perimeter fence or entering a restricted area
  • Identify vehicles that do not have authorized license plates or are parked in unauthorized areas
  • Track the movement of people and vehicles within a facility to identify suspicious activity

Customized ADA

  • Emergency Evacuation
  • Unoccupied AI
  • Fire and Smoke AI

Training & Annotations

Training & Annotations

Video analytics with deep learning

Video analytics with deep learning is a type of video analytics that uses artificial intelligence (AI) to analyze video footage and identify patterns and trends. Deep learning is a type of AI that uses artificial neural networks to learn from data. Neural networks are inspired by the human brain and can be trained to recognize patterns in complex data sets, such as video footage.

Video analytics with deep learning can be used to detect a wide range of events, including:

  • Objects: People, vehicles, animals, objects of interest (e.g., phone, ppe, people action smoking, vaping)
  • Activities: Intrusions, trespassing, vandalism, theft, crowd control, traffic violations, workplace safety violations

Deep learning-based video analytics systems

Deep learning-based video analytics systems are more accurate and efficient than traditional video analytics systems. They can also learn and adapt over time, which makes them more effective at detecting new and emerging threats.


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