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accessibility. Leading companies are responding by expanding their product offerings to include
integrated video analytics features in IP-based security solutions. For instance, Bosch launched its "IP
3000i Cameras" in October 2019, which feature built-in video analytics capabilities.
The advantages of IP-based security cameras combined with advanced video analytics are manifold.
They allow for remote viewing, smart data capture, and features such as identifying blocked emergency
exits, managing queues, detecting intrusions, monitoring crowds, and even facial recognition. These
technologies are widely used in various industries, such as retail, to effectively study customer behavior
and demographics using IP-based cameras.
The increasing use of IP-based security cameras in various industries highlights the growing demand for
robust video analytics solutions. This evolution enhances security measures, improves operational
efficiency, and facilitates gathering business intelligence. For example, in the retail sector, IP-based
security cameras equipped with advanced video analytics can offer valuable insights into customer
behavior. By analyzing demographic data and shopping patterns, retailers can optimize store layouts,
improve product placement strategies, and personalize marketing efforts, thus enhancing the customer
experience and increasing sales potential.
Enhancing security through AI and machine learning in video analytics
Enhancing security with the help of AI and machine learning in video analytics involves using advanced
algorithms to analyze video streams in real-time, thus improving the ability to detect and respond to
threats. AI can detect unusual behaviors, identify individuals, and categorize objects, reducing the
necessity for manual monitoring and enhancing accuracy.
For example, AI-powered video analytics have the ability to detect suspicious behaviors, such as
unauthorized access or abandoned objects, in airports or train stations. These systems can also
recognize specific individuals through facial recognition, aiding in tracking persons of interest or improving
access control in secure facilities.
Furthermore, machine learning algorithms can learn from previous incidents to refine their detection
capabilities over time, adapting to emerging threats and enhancing security effectiveness. By integrating
artificial intelligence into video analytics, organizations can achieve proactive security measures, faster
incident responses, and more robust surveillance systems capable of handling complex environments
with minimal human intervention.
Awiros implements AI-powered video analytics in Bengaluru's Safe City project
On October 14, 2022, Awiros, a technology startup focused on advanced technology, announced a
strategic collaboration with the Bengaluru City Police to enhance the city's surveillance capabilities as
part of the Bengaluru Safe City project. This initiative, supported by India's Ministry of Home Affairs
through the Nirbhaya Fund, aims to create a safer environment for women and girls in public spaces
using cutting-edge technology.
Cyber Defense eMagazine – August 2024 Edition 129
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