Lemon Tree Hotels: Welcoming the Right Guest

by November 8, 2018 0 comments

Solution Requirement

• Top-end Surveillance & Security system for keeping a track on sheer number of people visiting the hospitality property
• Identify the solution that would be fit with detailed and prescribed guidelines provided by Indian security agencies
• Hi-Tech technology, aiming at upgrading IT and security teams to build secure infrastructure

Solution Deployment

• NEC’s Face Recognition solution is designed to capture fast and accurate facial images from LIVE CCTV camera and matched captured faces to the database at the backend in real time with the auto generated the alert
• Strength lays in its high tolerance for the poor quality, highly compressed surveillance video and web images
• The Solution enables white-list and black-list management for enhanced customer service

Solution Benefits

• NEC’s face recognition solution definitely sets a new standard for security in the hospitality
the sector in India. The solution deployed was tested for various use cases and potential challenges in recognizing a facial image captured from a live CCTV camera and it delivered accurate results every time. The ability of the solution to respond in real-time is a great advantage as it
ensures there is no time gap between the identification of an individual and personalized reaction by the hotel staff.

Rahul Pandit, President & Executive Director, The Lemon Tree Hotels Company, “The strength of NEC’s face recognition technology, NeoFace, lies in its tolerance of poor quality images. With the high tolerance for low quality, highly compressed surveillance videos and images, including web images, the system has the capability to register and generate match results for the control of both ‘black-list’ and ‘white-list’ images using digital photographs. The captured face is compared to all facial templates in the database, irrespective of any attempts by the person to conceal identity via the usage of caps, hats, glasses or slightest change in the facial hair,” added the project head.“This helps determine whether the person is blacklisted or a welcomed VIP customer for the particular

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