Role of Video Surveillance in the Hospitality Sector

Hotels that utilize these deep learning analytics for remote guarding and monitoring by delegating alert detection and response to a surveillance acquisition response center can perform a more efficient job than a guard stationed onsite.

FREMONT, CA: The remote monitoring and virtual security capabilities of hotels are where deep learning analytics has proven to be especially advantageous. AI-supported remote surveillance services expand video surveillance capabilities by leveraging AI and deep learning algorithms for onsite guarding and monitoring tasks. The pandemic caused economic hardships for many industries, ranking the hospitality industry at the top. With the abrupt cessation of travel, hotel rooms were left mainly unoccupied. The developments in AI analytics are transforming the quality of service that mid-sized and lesser hotels can provide to remain competitive, making remote, advanced video monitoring a much more attractive option.

The lessons learned from the pandemic, many lodgers now demand enhanced security and health and safety conditions. It encourages hotels to expand and invest in security solutions and related services to remain competitive as the economy recovers from the pandemic. For instance, well-designed and strategically implemented video systems are highly effective hotel management instruments. They provide hotel proprietors and onsite management teams with the video intelligence necessary to improve service. Due to enhanced video surveillance's increased visibility and control over all operations, overall security, loss prevention, and risk management have become inherently more efficient.

The sector was previously labor-intensive, expensive, and error-prone – and at an unrivaled accuracy rate. Traditional analytical functions, such as active tampering alarms, motion detection, auto-tracking, and trip zones, have improved the performance of cameras. Due to advancements in deep-learning algorithms, analytics propelled by artificial intelligence (AI) has become significantly more accurate, helpful, and affordable. Multiple contexts have demonstrated AI video analytics's utility, enabling quicker detection, verification, and response. They enable hotel security staff and general operations teams to respond to incidents, such as evacuations and lockdowns, more swiftly and by standard operating procedures.

The remote monitoring and virtual security capabilities of hotels are where deep learning analytics has proven to be especially advantageous. It helps to perform onsite guarding and monitoring tasks that were previously labor-intensive, expensive, and error-prone – and at an unrivaled accuracy rate. New video capabilities make enterprise-level monitoring more affordable for customers. With AI-assisted alerts and notifications for line-crossing, loitering, and object detection, hotel security teams are relieved of their duties, while users of all sizes can access 24-hour surveillance. Virtual security saves hotels the cost of employing security personnel onsite.