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When teams need to monitor multiple CCTV screens at the same time, AI can help analyze and detect events based on predefined conditions, making it easier for staff to notice the areas that may need further review. For Canal One, this idea is part of ASAP, or All Smart AI Platform, which brings AI together with an organization’s existing equipment to enhance analysis, classification, abnormal trend detection, and alerts.
Imagine a Control Room with rows of CCTV screens in front of you.
Screen one looks normal.
Screen two looks normal.
Screen three still looks normal.
Screen four... wait, did something just happen there?
And at the same time, there are still many more screens to watch.
Even for experienced staff, continuously monitoring a large number of video feeds requires a high level of concentration.
So Clong-1 Ai does not want to add “one more screen” for the team to watch.
Instead, Clong-1 Ai wants to help the screens you already have make it easier to see where something may need attention.
The larger the area, the more cameras are often needed for monitoring.
Each camera continuously generates information, and staff may need to keep track of several locations at the same time.
So the challenge is not only:
“Can we see every area?”
There is a more important question:
“Out of all these video feeds, which area needs attention right now?”
Canal One notes that traditional detection, data-recording, and alert systems may rely heavily on staff, which can create opportunities for errors or delays. Technology can therefore help improve efficiency and reduce limitations caused by Human Error.
This is where AI Detection can become another assistant for the team.
Not to “watch everything instead of people,”
but to help point out what people may need to look at.
The basic idea is that instead of making staff solely responsible for watching every camera feed, AI can help analyze information from connected systems and detect events according to predefined conditions.
When an event matches those conditions, the system can move that information into the alerting process.
From a large number of video feeds happening at the same time,
the team can gain a clearer “point to review.”
The workflow can be explained simply as:
CCTV → AI Analyze → Detect → Alert → Human Review
Cameras help monitor the area.
AI helps analyze.
The system helps detect events that match predefined conditions.
Alerts help draw attention.
And staff review the real situation.
This is how Canal One wants technology to work:
with people, not instead of people.
ASAP, or All Smart AI Platform, is a management platform that brings AI together with existing equipment to enhance analysis, classification, abnormal trend detection, and comprehensive alerts.
The important point is that an organization may already have CCTV and other equipment in place.
Canal One does not believe that adding AI capabilities always has to begin by replacing the entire existing system.
ASAP is designed to work with an organization’s existing equipment. Canal One begins by analyzing user problems and requirements before designing and customizing the system to connect with the infrastructure already in place.
So the question changes from:
“How many more screens do we need?”
to:
“How can the information from the screens we already have help the team more effectively?”
The meaning of “unusual” depends on the context of the environment.
In one area, the team may need to monitor smoke or fire.
In another, the focus may be on people entering a predefined zone.
Some sites may need to monitor suspicious objects.
And in workplaces, teams may also need to monitor PPE Safety conditions.
That is why Canal One’s ASAP supports multiple Safety and Security capabilities, such as Smoke and Fire AI Detection, PPE Safety, Intruder Detection, Face Recognition, License Plate Recognition, Path Track Technology, Suspicious Object Detection, and Staff Counting.
So the goal is not to tell AI to find “anything that looks strange.”
It is to design the system to help detect events that actually matter in that specific environment.
Imagine there are dozens of cameras, and almost every feed is showing a normal situation.
What the team really needs may not be to make every camera feed larger.
It may simply be to know:
“Which camera is showing something that should be checked right now?”
This is where connecting AI Detection with Real-Time Notification becomes valuable.
When the system detects an event that matches predefined conditions, the information can be delivered through channels supported by Canal One, including LINE Official Account, Android / iOS Applications, Direct Message, Portable Radio, Wired Telephone, Strobe Light / Siren, and API.
Instead of hoping that a staff member happens to be watching the right screen at exactly the right moment,
the system can help draw the team’s attention to the event that may need review.
Fast Detection becomes useful when information can also move quickly.
Because if AI detects an event but the information remains inside the system without anyone becoming aware of it, Detection alone does not complete the operational workflow.
That is why Clong-1 Ai looks at the entire flow, not only one AI capability:
Detect → Analyze → Alert → Respond
When the system Detects an event that matches predefined conditions,
AI and the system help Analyze the relevant information,
an Alert is sent through the appropriate channel,
and staff then review and Respond according to the organization’s SOP or process.
The important point is that AI does not need to be the final decision-maker.
It helps give people a better chance to notice what needs to be checked sooner.
This is especially important in AI Security.
When AI detects an event according to predefined conditions, it does not mean every Alert represents a confirmed danger.
For example, Intruder Detection may identify an event related to someone entering a predefined area, but understanding what that event actually means still requires context and review by the responsible team.
Smoke and Fire AI Detection can also help identify events related to predefined smoke or fire conditions, but it should not be treated as confirmation of a fire without an appropriate review process.
So Clong-1 Ai does not want AI to tell the team:
“There is definitely an emergency!”
Clong-1 Ai would rather say:
“There’s something here that may need attention. Let’s check it again.”
This aligns with Canal One’s direction around AI Governance and AI Security & Explainability alongside AI development.
The challenge of a Control Room is not only the number of cameras.
Many organizations also receive information from other systems, such as Sensors, Fire Alarm systems, access control, and notification systems.
If every system remains separate, staff may need to switch between multiple screens, applications, and communication channels at the same time.
That is why Canal One takes an AI and IoT Orchestration approach, connecting people, data, and intelligent devices into a more Seamless experience.
This is at the heart of Smart Integration and a Unified Security System.
It does not mean squeezing every piece of information onto one screen until the Dashboard becomes even more crowded.
It means connecting different systems and presenting what users need to know in a more appropriate and useful way.
Because a good Dashboard should not make someone think:
“There’s so much data. Where do I even start?”
It should help them answer more quickly:
“Where should I look right now?”
Canal One’s Company Profile includes a real-world example of this approach.
Canal One describes the use of a Smart Integrated Operation Center (IOC) with the Electricity Generating Authority of Thailand (EGAT), helping transform complex safety workflows into more automated detection and alert processes for unusual events or emergency situations, while being designed for use from management level through to security personnel.
This clearly reflects an important Canal One principle.
Technology is not valuable simply because it makes a Control Room look more advanced.
It becomes valuable when it helps people work with large amounts of information more easily and effectively.
Another limitation of traditional Monitoring is that situation awareness is often tied to the physical location of a screen.
But the person who needs to know about an event may not always be inside the Control Room.
Canal One therefore supports an On-the-Go Monitoring System, allowing users to view events and information through devices such as iPads, smartphones, and Monitors, and follow updates immediately.
When combined with Real-Time Notification, the Monitoring experience changes from:
“People need to be where the information is.”
to:
“Important information should reach the people who need it.”
This is part of what Seamless Experience means in Safety and Security.
It is not only about whether an Interface looks good.
It is also about making sure information is available where it best fits real operational work.
The things teams need to observe through CCTV are not limited to Security events.
In workplaces, AI can also help monitor Safety and Compliance conditions.
One example is PPE Safety, which is part of ASAP’s capabilities.
Canal One’s AI-Powered Compliance Monitoring approach also covers the monitoring of requirements such as PPE and SOP, together with Regulatory Compliance Alerts and configurable Compliance Rules for different organizations.
So instead of only asking:
“Is there an unusual event?”
the system can be designed to help answer a more specific question:
“Is there a Safety or Compliance condition that should be checked?”
AI therefore does more than simply enhance visual monitoring.
It can help connect large volumes of visual information with the organization’s actual operational needs.
This is the heart of the idea.
Canal One emphasizes Human-Centric Design and Seamless Experience, using User Experience Research together with User Interface Design to make systems effective, understandable, and suitable for real users.
So the goal of AI Monitoring should not be:
“We no longer need people to watch.”
It should be:
“How can people spend more of their time on what actually matters?”
Let the system help monitor large amounts of information.
Let AI help Detect events that match predefined conditions.
Let Alerts help draw attention.
Then let human experience, context, and judgment take over from there.
Because people remain at the heart of the system.
If you have to monitor a large number of CCTV feeds continuously throughout the day,
Clong-1 Ai understands that the challenge is not simply about “getting better at watching.”
Sometimes the better answer is to let the system watch alongside us.
When everything is normal, the team does not need to have its attention pulled in every direction at once.
But when an event matches predefined conditions...
“Over here take another look at this screen.”
This is how Canal One sees the role of AI Detection, ASAP Platform, Real-Time Notification, and Smart Integration.
Turning many cameras
into information that is easier to manage.
Turning many screens
into clearer points of attention for the team.
And turning technology that once mainly recorded events
into another pair of eyes helping the team.
Because Canal One’s goal is to create Intelligent Systems that help make People Safer, Businesses Smarter, and Environments More Responsive through technology that is Ethical, Seamless, and Human-First.
Don’t worry about all those screens Clong-1 Ai can help highlight what may need your attention.
We’re ready to help your team take the next step in safety, sustainability, and smart operations.
