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Overall, it is expected that there will be a growing integration of technologies such as physical
security information management (PSIM). Citizen and security agencies will communicate
seamlessly through smart technology. Command and control systems will be shared across multiple
city departments such as energy, waste, security, and transport, enabling a holistic, city‐wide
approach. Predictive analytics and data mining will become a mainstay.
Existing security technology such as video surveillance, video analytics, and biometrics will remain
the main focus of a city's security and how the analysis of key information flow is the main area for
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improvement in the next generation of security. According to ITU, the visual surveillance service
is “telecommunication service focusing on video (but also including audio) application technology,
which is used to remotely capture multimedia (such as audio, video, image and alarm signals) and
present them to the end user in a user‐friendly manner, based on a managed broadband network
with ensured quality, security and reliability.” Requirements for a good visual surveillance system
with detailed specifications on functional architecture reference points, signalling and control
methods, sets overall protocols for a visual surveillance system.
g. Smart health care
Smarter health care management converts health‐related data into clinical and business insights.
Progressive organizations and cities are working together on their health care data to enable secure
communications and information sharing. This data empowers health specialists to improve the
productivity of the service provided at the point of contact of patients.
Examples of smart health care include the availability of remote alternative diagnoses, remote
treatment or tele‐assistance, online medical services, requesting an appointment online or the
possibility of having a digital record via an electronic health management system, remote home
services, alarm systems or even remote patient monitoring systems.
An ITU Focus Group to study Machine‐to‐Machine (FG‐M2M) communications was established
under the management of Study Group 11 in February 2012. While M2M is considered a key enabler
of applications and services across a broad range of vertical markets (e.g. health care, logistics,
transport, utilities, etc.), the Focus Group is first focusing on the health care market and to identify
a minimum set of common requirements. Some of the key aspects being studied by the FG‐M2M
include:
A "gap analysis" for vertical market M2M service layer needs, initially focusing on applications
and services for the health care market
Identification of a minimum common set of M2M service layer requirements and capabilities,
initially focusing on e‐health applications and services
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46 http://www.itu.int/rec/T‐REC‐H.627‐201206‐I
ITU‐T's Technical Reports and Specifications 27