Posts in SMARTCITY

What Slows Down the Smart Cities Implementations in Malaysia?

April 18th, 2024 Posted by Internet of Things, IOT PLATFORM, SMARTCITY 0 thoughts on “What Slows Down the Smart Cities Implementations in Malaysia?”

Smart Cities….

Just saying it out loud has this futuristic vibe, doesn’t it?

Makes me picture this utopia where everything’s interconnected, efficient, and, well, smart.

I’ve been down this rabbit hole more times than I can count, dreaming up the endless possibilities.

But then, reality checks in, and boy, does it bring you back down to Earth with a thud.

Let’s chat about why it feels like we’re stuck in the mud when it comes to getting Smart City projects off the ground in some local councils or municipalities.

It’s like everyone’s excited to talk about the potential, but when it comes to action, it’s a whole different story.

The first roadblock?

Budget. Or rather, the lack of it. It’s the age-old problem, isn’t it? No money, no progress.

But who’s going to solve this puzzle?

It seems like a merry-go-round of pointing fingers and shrugging shoulders when it comes to planning and execution.

And let me tell you, it’s causing quite a bit of frustration among industry players and solution providers. They’re all dressed up with nowhere to go, so to speak.

After stewing over this for a while, a lightbulb moment happened. Maybe we’re approaching this all wrong.

Instead of getting hung up on the budget issue first, what if we focus on getting the right talent and expertise on board?

It’s like, solve this piece of the puzzle, and the rest will start falling into place.

Because, let’s be real, you need people who know their stuff to navigate through the complex web of Smart City projects.

Now, let’s take a step back and really look at what we’re up against.

Smart Cities aren’t just about slapping some tech onto old infrastructure. We’re talking smart traffic lights, environmental monitoring, river monitoring, waste management, smart parking… the list goes on.

These projects are complex and need a dedicated team to handle them.

Think about it.

Can the existing IT team, who previously were just managing the network and computers, suddenly morph into jack-of-all-trades handling these advanced projects?

It’s a bit of a stretch, isn’t it?

I mean, if massive corporations with their fancy Smart Building solutions need a specialized IT team, how can we expect a small municipal IT team to manage an entire city’s worth of smart solutions?

It’s pretty clear that the current setup in the councils isn’t cut out for this monumental task.

What we need is a revolution in the organizational structure, a specialized team whose sole focus is on making Smart Cities a reality, from planning and procurement to implementation, operations, and maintenance.

But here’s the kicker — how many local councils in Malaysia, or anywhere for that matter, have a dedicated Smart Cities Department?

If we’re still scratching our heads on that one, it’s time for a change.

We need to rethink our approach and start building the foundations for these departments.

So, where does that leave us? Well, I’d like to end on a hopeful note.

The road to Smart Cities might be bumpy, filled with budget woes, and a bit of a logistical nightmare, but it’s not insurmountable.

With the right talent steering the ship, a clear focus, and some restructuring, we can get there.

It’s about building smarter, not just dreaming about it.

Let’s start the conversation, rally the right people, and make those Smart City dreams a reality.

Because, at the end of the day, we’re all in this together, aiming for a future that’s a bit brighter, a bit smarter, and a whole lot more connected.

This article, “What Slows Down the Smart Cities Implementations in Malaysia?,” was originally published on Medium.

Remote Optical Sensor for Ammonia Detection in Water

February 17th, 2018 Posted by HOW-TO, IOT PLATFORM, SMARTCITY 0 thoughts on “Remote Optical Sensor for Ammonia Detection in Water”

Ammonia is a chemical compound that made up of two gases which is nitrogen and hydrogen. Ammonia can be found in several advantages and disadvantages toward human and environment. The advantages of ammonia can be seen from it is very useful that can be used in many industries such as in agriculture, food processing, petroleum, rubber, and other industries. For example, we can see that from agriculture, it is used for livestock feeds, fertilizer, and crop protection. In petroleum, it is used for the protection of equipment to avoid corrosion.

However, during the manufacturing process from industry, there will produce wastewater that contains a concentration of ammonia. When ammonia reacts to water, there are two chemical species exist in water which is in un-ionized form, NH3 and ionized form, NH4. The unionized form is called ammonia whereas ionized form is called ammonium. These two forms which together are called total ammonia nitrogen or in short forms TAN. At the same time, the weak base is formed which means the pH value is greater than 7. It is very important to know that the unionized form is toxic. Therefore, this toxicity will bring negative effect to the environment and may harm aquatic life.

In this project, remote optical sensor towards ammoniacal nitrogen in water will be developed to give an alert if ammoniacal nitrogen is detected in water. For the cloud including the server, database, and the interconnection between it, FAVORIOT IoT platform will be used.

[Note: This project is being developed by UPM, our FAVORIOT’s University’s collaborator. Article was written by Ng Foo Guan]

You can check out the whole LIST of IOT PROJECTS by our University Collaborators.

Robust Vision-Based Human Detection in a Dynamically Varying Environment

February 16th, 2018 Posted by HOW-TO, IOT PLATFORM, SMARTCITY 0 thoughts on “Robust Vision-Based Human Detection in a Dynamically Varying Environment”

Regardless of various research endeavors, the performance of current human detection system is still a long way from what could be utilized dependably under varying realistic environment. This is expected to some extent to the inborn troubles related to the human body and nature in which it is found. The non-unbending nature of the human body offers to ascend to varieties in the stances that it can accept and when this is combined with movement a few displaying issues are exhibited. Because of some position and angle of the camera, the view and size varieties represent some technical difficulties to the models that can be implemented. It is different with other objects that normally show up in one shape, people can be dressed in any form of changing shading and surface. The location of the human object in the environment is an essential part of the appearance. For example, the environment illumination could upgrade or corrupt the appearance relying on the direction and nature of the light. Most of the challenges with complex background are mostly experienced in the open area. Occlusion is always a challenge for robustness with several human and interactivities. This might be the parts of body cover with another part of a body which create inter-object occlusion which happens when one human walk in front and another human is behind.

As a result, we propose to develop the vision-based human detection system with Artificial Intelligence method: Deep Neural Network and Internet-of-Things (IoT) technology to strengthen the robustness of the system. FAVORIOT IoT Cloud platformact as a middleware will be fully utilized to store images to prevent data loss through the internet.

[Note: This project is being done by UPM, our FAVORIOT’s University’s collaborator]

You can check out the whole LIST of IOT PROJECTS by our University Collaborators.

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