我們的理念

本中心於2007年7 月,由一群對音樂充滿熱誠的年青人創立。成立目的是為一些有志於音樂藝術教育上發展的年輕導師提供一個招生的空間,同時為一些尋師無門的家長們提供一個找尋合適導師的好地方。

為了讓孩子在音樂上有更良好的發展空間,我們除了安排導師介紹外,我們將會定期舉行學生音樂會,供本中心的會員參加,讓學生有多方面發展機會。

學習音樂,不能只靠課堂操練,實際的表演機會更能讓學生增加自信心,培養對音樂的興趣。故此,我們相信定期的表演或比賽,是學習音樂的一種推動力。


希望藉著我們對音樂的熱誠,附上我們的一分力,能成為有志於音樂教育發展的年青人的踏腳石,亦能為各位望子成龍的家長盡一點心意。

導師通告﹕

我們希望集合一群有志於音樂教育發展的年青人,互相交流心得,合作舉辦學生音樂會。如果你有興趣加入我們,或希望在我們的網站招生, 請將你的個人資料,相關資歷,演出/比賽經驗,教學經驗電郵到musictutors.hk@gmail.com


家長通告﹕

如果各位家長希望尋找心目中理想的導師,請將導師要求,學生資料,上課詳情電郵到musictutors.hk@gmail.com,我們會盡快與你們聯絡。
(我們視導師介紹服務為義務工作,並不打算徵收家長任何費用。)


註一﹕所有導師和家長都會自動成為本中心的會員,將來任何活動或優惠都會以電郵通知,請各位附上電郵地址以便聯絡。
註二﹕我們計劃每年舉行最少一次學生音樂會,會員可以優惠價參與演出。

2024年12月26日星期四

Access control and how it is changing construction

Biometric authentication, AI integration, cloud-based access systems and automation are shaping the construction industry by improving safety, streamlining processes and aligning with the increasing push for sustainability. These systems, which include fingerprint scanners, facial recognition and retina scans, are particularly transforming access control on construction sites, but unlike traditional keys or swipe cards that can be misplaced or duplicated, they provide instead a personalised and foolproof method of identifying individuals – and it is changing the face of construction - writes John Ridgeway.

They are bringing enhanced security, ensuring that only authorised personnel can access restricted areas and are helping to reduce theft and trespass incidents. Biometric systems that can log workers' entry and exit times, are providing accurate records for payroll and compliance and because they ensure workers can only be granted access to specific areas based on their role, they are also delivering better safety protocols.

Artificial intelligence (AI) and machine learning in particular have become powerful tools in access control. These technologies provide real-time data analysis, helping construction sites identify potential threats and inefficiencies. Machine learning algorithms monitor entry patterns to flag suspicious activity and AI-powered cameras detect unauthorised personnel or unusual movements, alerting security teams instantly. These systems can also predict when equipment, such as gates or locks, might fail, preventing costly delays. Click link to read more:

#construction