Deep Learning Delivers Next-Generation Video Analytics Capabilities

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Webinar On-Demand
Sponsored by Bosch Security
Presented by Matthew Cirnigliaro

Learning Objectives:

  1. Explain how deep learning is opening new possibilities for video-based detection and data solutions.
  2. Discuss how AI-driven video analytics can transform a task from requiring human input to a successfully automated one and tackle more complex tasks faster, easier, and with greater accuracy.
  3. Share examples of how AI-driven video analytics can be used in a variety of industries and to solve common pain points.
  4. Identify opportunities to use statistics and data generated by AI to evaluate business opportunities that create new revenue streams or reduce operational costs.


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Deep learning, a form of AI, is ushering in next-generation video analytics – enhancing detection capabilities even in congested scenes while ignoring disturbances like vehicle headlights or extreme weather. This high-precision detection provides users with scene understanding at a deeper level and the ability to recognize patterns and gather accurate data. Leveraging AI helps users evaluate situations more fully, so they can respond before potential risks occur.

Learn how AI allows video cameras to understand what they’re seeing, monitor risks against a threshold, and alert people if a real threat or situation needs attention the moment it happens.


Photo courtesy of Bosch Security


Matthew Cirnigliaro, is the Regional Marketing Manager for Bosch Security and Safety Systems North America. He works to enhance the value Bosch solutions bring to customers. He manages new products, technology, and special projects and brings many years of industry experience to this role.


Bosch Security Bosch is a global supplier of security, safety, and communications systems. Protecting lives, buildings and assets is the major aim. The portfolio includes video surveillance, intrusion detection, access control, management systems, and professional audio and conference systems.


Originally published in July 2023