AIoT smart manufacturing for SME

While "sembang AIoT" We celebrate Malaysia Day

Challenges with SME in the implementing Smart Manufacturing

This weekly live session, we shared some challenges faced by the SME in the IR4 journey and solutions to it followed by Vision AI application in a non intrusive analogue meter reading where in some cases, this solution is needed with least man power involvement and less error created by the human in the data collection.

Industry 4.0 (IR4) represents the Fourth Industrial Revolution, characterized by a range of new technologies, including the Internet of Things (IoT), artificial intelligence (AI), robotics, augmented reality, and more. While these technologies have the potential to transform manufacturing processes, SME (Small and Medium-sized Enterprises) manufacturers face specific challenges in their IR4 journey:

High Initial Investment: Deploying state-of-the-art technologies often requires significant financial outlay, which can be prohibitive for SMEs. This includes the costs of acquiring, installing, and maintaining new machinery and software.

Skills and Expertise: Implementing and maintaining IR4 technologies require specialized skills. SMEs may struggle to find or afford the right talent.

Cybersecurity Concerns: With increased connectivity and digitization comes the need for advanced cybersecurity measures. SMEs may lack the resources or expertise to effectively guard against sophisticated cyber threats.

ROI Uncertainty: The benefits of some Industry 4.0 technologies might not be immediately evident, making it difficult for SMEs to justify the investments based on potential returns.

Knowledge Gap: SMEs may lack awareness of the full range of technologies available, their potential benefits, and how best to implement them.

For SME manufacturers, the journey toward Industry 4.0 adoption is fraught with challenges, but the potential benefits in terms of efficiency, productivity, and competitiveness are considerable. With the right strategies, partnerships, and investments, these challenges can be addressed, paving the way for successful digital transformation.

 

you may find the in our previous OEE tracking live sharing, This is one of the demonstration that handle a full sets of OEE tracking in the production floor. 

Availability :  signaling from Tower Light

Performance:  the production count and cycle time 

Quality :  user interface to input the defects and type of defects .

Two main component in this Axiomtek IIoT edge HMI  and Stack Light module.

 

Non intrusive Analogue meter reading with Vision AI

non-intrusive data extraction via camera

The Live session ended with non intrusive meters reading. We showed the analogue Voltmeter reading with one of the camera with the AI engine running on KIWI310 ( a tiny embedded Intel based platform over USB), The data is visualized over the cloud dashboard.

We reserve the other pressure gauge Vision AI reading with the IIOT edge gateway to show case in the upcoming Smart Nation 2023 exhibition. You can find us at the exhibition in Hall 8 : booth 8043 at MITEC from 19th to 21st of Sept. 

Watch us Live in Youtube with the link below and appreciate your subscription to AioTmission youtube channel with the link blow.



https://youtube.com/live/6zbs3zPNALY