Tirupati Temple使用面部识别技术来增强朝圣体验

管理尊敬的Venkateswara庙的Tirumala Tirupati Devasthanams（TTD）正在旨在整合人工智能（AI）和面部识别技术

The Tirumala Tirupati Devasthanams (TTD), which manages the Venkateswara temple, is set to integrate Artificial Intelligence (AI) and facial recognition technology to enhance the pilgrimage experience, an official said on Thursday.

一位官员周四表示，管理Venkateswara庙的Tirumala Tirupati Devasthanams（TTD）将整合人工智能（AI）和面部识别技术，以增强朝圣体验。

TTD board has also approved the implementation of anti-drone technology around the temple.

TTD董事会还批准了寺庙周围的抗无人机技术实施。

TTD Executive Officer J Syamala Rao said these cutting-edge technologies will help verify genuine pilgrims, streamline the darshan process, and eliminate impersonation and fraudulent activities. The tech will also be used to improve accommodation systems, access control, and other temple operations.

TTD执行官J Syamala Rao表示，这些尖端技术将有助于验证真正的朝圣者，简化Darshan进程，并消除模仿和欺诈性活动。该技术还将用于改善住宿系统，访问控制和其他寺庙运营。

"TTD has envisioned adopting the latest technological solutions available in the market, including Artificial Intelligence to improve the overall pilgrimage experience and provide the best service to the pilgrims," Rao said in a press release.

Rao在新闻稿中说：“ TTD设想采用市场上可用的最新技术解决方案，包括人工智能，以改善整体朝圣体验并为朝圣者提供最佳服务。”

As part of this initiative, pilgrims will be issued time-slotted darshan tokens embedded with facial recognition data. The captured images will be cross-referenced with data from the previous 30 days, amounting to about 10 lakh images, to prevent duplicate bookings and serve more pilgrims efficiently.

作为该倡议的一部分，朝圣者将获得嵌入面部识别数据的时间间隔的Darshan代币。捕获的图像将与前30天的数据交叉引用，总计约100万图像，以防止重复预订并有效地提供更多的朝圣者。

"By implementing this solution, the token issue and verification process becomes quick and hassle-free while impersonation and fraudulent activities can be prevented," Rao added.

Rao补充说：“通过实施该解决方案，可以防止使用该解决方案，而验证过程变得快速且无忧，同时可以防止冒险和欺诈活动。”

TTD is also considering deploying facial recognition to monitor and manage pilgrim flow in key areas such as queue lines, compartments, and inside the temple premises. AI-powered cameras will enable real-time facial detection and movement tracking.

TTD还考虑部署面部识别，以监视和管理主要区域的朝圣流量，例如队列，隔间和寺庙场所内。 AI驱动的摄像机将实现实时的面部检测和运动跟踪。

"This solution leverages TTD management to exactly assess the probable darshan time expected for the pilgrims who are waiting, and also can assess the darshan time for pilgrims joining queue lines," the EO said.

EO说：“该解决方案利用TTD管理来精确评估正在等待的朝圣者的可能达山时间，还可以评估达山的时间的朝圣者加入排队线的时间。”

Further, leveraging AI, TTT aims to notify pilgrims of expected darshan timings, helping them better plan their visits. The system will also allow officials to estimate darshan completion times across categories and identify operational gaps.

此外，利用AI，TTT旨在将预期的达山时间通知朝圣者，以帮助他们更好地计划访问。该系统还将允许官员估算跨类别的Darshan完成时间并确定操作差距。

In addition, the EO said facial recognition would aid in tracking and identifying intruders across Tirumala.

此外，EO表示面部识别将有助于跟踪和识别Tirumala的入侵者。

Eventually, Rao said the temple board plans to extend facial recognition technology to cover all possible services offered by TTD.

最终，饶表示，寺庙委员会计划扩展面部识别技术，以涵盖TTD提供的所有可能服务。