A tech platform to improve the supply chain mechanism in the Pharma-industry.
Video surveillance plays a critical role in ensuring public safety and security across various domains, including transportation, retail, and critical infrastructure. However, traditional closed-circuit television (CCTV) systems often suffer from limitations in effectively analyzing vast amounts of video data in real-time. To address these challenges, this abstract presents an advanced CCTV analytic solution that leverages cutting-edge technologies to enhance video surveillance capabilities. The proposed solution incorporates state-of-the-art computer vision algorithms and artificial intelligence techniques to enable real-time monitoring, automated video analysis, and intelligent decision-making. By integrating these advanced analytics, the system can detect, track, and identify objects of interest, such as vehicles, individuals, and suspicious activities, in complex and crowded environments.
We are developing an advanced ANPR and FRS solution, which is a powerful security and surveillance technology that combines Automatic Number Plate Recognition (ANPR) with Facial Recognition Systems (FRS) using deep learning algorithms and machine vision. This solution can accurately recognize vehicle number plates written in non-standard ways and identify persons of interest through facial recognition from available CCTV feeds. An advanced ANPR and FRS solution can be a valuable and profitable business model for companies in the security and surveillance industry, automating the parking of vehicles etc. It can be used in a variety of applications, including border control, law enforcement, retail and commercial security, industrial and critical infrastructure security, and smart city and ease in movement of traffic. The solution can provide a versatile and adaptable business model with high-value applications, creating a sustainable revenue stream for companies in the security and surveillance industry.
An advanced ANPR and FRS solution is a powerful security technology that combines deep learning algorithms and machine vision to accurately recognize vehicle number plates and identify persons of interest through facial recognition from available CCTV feeds. This technology has many applications, including border control, law enforcement, retail and commercial security, industrial and critical infrastructure security, and smart city and traffic management. The solution can potentially revolutionize the security and surveillance industry, providing a reliable and efficient way to enhance security measures and protect assets and personnel
An advanced ANPR and FRS solution can be a profitable business model for companies in the security and surveillance industry. The solution provides a competitive advantage in the market and offers a sustainable revenue stream through recurring revenue from maintenance and service contracts, and subscription-based software licensing. With its numerous applications, this technology provides a versatile and adaptable business model with potential for growth and scalability, making it a valuable addition to any security company's offerings