AIoT in workspace safety and sensor integration

The “Sembang AIoT 18” sharing session began with a deep dive into AI model-building essentials. Kien Leong emphasized the significance of Dataset augmentation in the realm of computer vision AI.
Reflecting on the Axiomtek AIS (AI suite) utilized at Plug Fest II, this suite was an integral part of the training initiative by the Malaysia Productivity Centre and EEPN. A key feature of the AIS was its Dataset augmentation capability. This enabled the raw dataset to undergo an augmentation process, essentially scrambling and transforming the data to better train the AI model, enabling it to deeply learn various appearances and combinations.
Additionally, we showcased a brief demonstration of computer vision AI focusing on workspace safety. This AI was adept at monitoring compliance factors like the wearing of helmets, vests, and more.
The AI system ran on one of Axiomtek’s AI edge/IPC platforms.
A major part of our discussion revolved around the challenges faced, emphasizing that the dataset’s quality from the site directly affects the accuracy of AI model decisions. For more insights from this session, watch the recorded live session.
IIOT pressure Sensors to Cloud

The pressure, an important  process parameter that require accurate measurement must not be forgotten in one of the IIoT sensors where it is widely used in the industries. 

We highlighted two types of commonly used sensor namely, Strain gauge sensors and Piezoelectric sensors. These sensors are used in many instrument and apparatus.

Piezoelectric Sensor:

Principle: Piezoelectricity is the electric charge that accumulates in certain solid materials (like crystals, certain ceramics, and biological matter like bone) in response to applied mechanical stress. The word “piezoelectricity” means electricity resulting from pressure.

Function: When pressure is applied to a piezoelectric material, it generates a voltage proportional to that pressure. This voltage can then be measured and used to determine the amount of pressure applied.

Applications: Due to their ability to respond to fast changes in pressure, piezoelectric sensors are often used in dynamic applications. They are found in many applications including:

Measuring dynamic pressure changes in gases and liquids.

Detecting the force of impact in automotive airbag systems.

In musical pickups, especially for acoustic instruments.

In some microphones to detect sound waves.

Strain Gauge Pressure Sensors:

Principle: A strain gauge consists of a conductive pattern (often made of a metallic foil) that is affixed to a flexible backing. When this pattern is stretched or compressed, its electrical resistance changes.

Function: When pressure is exerted on a diaphragm or membrane, it deforms (or strains). A strain gauge attached to this diaphragm will also deform, leading to a change in its resistance. This change in resistance is proportional to the pressure exerted on the diaphragm. By measuring this change in resistance, the applied pressure can be determined.

Applications: Strain gauge pressure sensors are widely used due to their reliability and stability. They are found in various applications including:

Industrial process monitoring and control.

Aerospace and automotive sensors.

Medical devices for monitoring blood or fluid pressures.

Load cells for weight measurement.

Both types of sensors come with their own sets of advantages and limitations. While piezoelectric sensors excel at measuring dynamic pressures over short durations, strain gauge sensors are often preferred for stable, continuous pressure measurements.

Watch in detail sharing on the Aiotmission youtube channel with the link below: