Earn: 0.1 IACET CEU
As an IACET Accredited Provider, BNP Media offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard.
Participants completing this course may be eligible to receive Continuing Professional Education credit or CPEs toward ASIS re-certification. Training may qualify for related continuing education for recertification activity through NICET. Students may claim one (1) Continuing Professional Development (CPD) point per hour of instruction towards their NICET recertification requirement for any sessions that expand their knowledge of the subject matter pertaining to the certifications they hold.
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.
Learning objectives:
- Explain how deep learning is opening new possibilities for video-based detection and data solutions.
- 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.
- Share examples of how AI-driven video analytics can be used in a variety of industries and to solve common pain points.
- 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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