Tirupati Temple使用面部識別技術來增強朝聖體驗

管理尊敬的Venkateswara廟的Tirumala Tirupati Devasthanams（TTD）正在旨在整合人工智能（AI）和麵部識別技術

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.

一位官員周四表示，管理Venkateswara廟的Tirumala Tirupati Devasthanams（TTD）將整合人工智能（AI）和麵部識別技術，以增強朝聖體驗。

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

TTD董事會還批准了寺廟周圍的抗無人機技術實施。

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執行官J Syamala Rao表示，這些尖端技術將有助於驗證真正的朝聖者，簡化Darshan進程，並消除模仿和欺詐性活動。該技術還將用於改善住宿系統，訪問控制和其他寺廟運營。

"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在新聞稿中說：“ TTD設想採用市場上可用的最新技術解決方案，包括人工智能，以改善整體朝聖體驗並為朝聖者提供最佳服務。”

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.

作為該倡議的一部分，朝聖者將獲得嵌入面部識別數據的時間間隔的Darshan代幣。捕獲的圖像將與前30天的數據交叉引用，總計約100萬圖像，以防止重複預訂並有效地提供更多的朝聖者。

"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補充說：“通過實施該解決方案，可以防止使用該解決方案，而驗證過程變得快速且無憂，同時可以防止冒險和欺詐活動。”

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還考慮部署面部識別，以監視和管理主要區域的朝聖流量，例如隊列，隔間和寺廟場所內。 AI驅動的攝像機將實現實時的面部檢測和運動跟踪。

"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說：“該解決方案利用TTD管理來精確評估正在等待的朝聖者的可能達山時間，還可以評估達山的時間的朝聖者加入排隊線的時間。”

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旨在將預期的達山時間通知朝聖者，以幫助他們更好地計劃訪問。該系統還將允許官員估算跨類別的Darshan完成時間並確定操作差距。

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

此外，EO表示面部識別將有助於跟踪和識別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.

最終，饒表示，寺廟委員會計劃擴展面部識別技術，以涵蓋TTD提供的所有可能服務。