Smart Parking for Smart City with AIoT
The “Sembang AIoT” Episod 33 was held on 19th of Jan 2024. The main topic was still Smart City covering Smart Parking with AI and industrial IoT. We started this with one of the Smart Transport embedded system introductions, The Axiomtek TBox810, it is a en50155 certified Industrial PC system that allows the users to run this on a moving vehicles or Trains.
If you’re involved in transportation-related projects or applications, consider exploring the Axiomtek TBOX series. This series boasts numerous certifications, making it suitable for railway train applications. Key certifications include En50155, En 45545-2, Iso7637-2, E-Mark (E13 / E24), IEC609045, DNV2.4, among others.
These TBOX units are particularly effective for various smart transport applications. They can be used for graphical display systems at train stations or on trains, Internet of Things (IoT) implementations on trains, and Vision AI analytics systems onboard.
In our recent presentation, we highlighted the Tbox810, a low-power option from this series. It is an Intel Atom-based, low-power embedded system, ideal for adding to Mass Rapid Transit (MRT) or Light Rail Transit (LRT) for onboard IoT monitoring applications.
Cloud based integrated IIOT EDGE Gateway that drives the Smart Parking Display
We shared some case studies on Smart parking within building like those installed at the Mall parking area, where the incoming cars can be diverted to some areas with more parking space by indicators. although this is not a new thing the impact is good in the sense of avoiding congestion and regulating traffic within the parking area. The other set of LPR ( license Plate recognition) is used in some of the malls that provide license plate recognition and parking fee collection. This application seems to be smooth running and it should come to the maturity state.
We demonstrate the counting of the incoming vehicle entering and exit the parking space where the balance parking space is projected at the Dot matrix Display panel. For IoT sake, we included the AIOT Edge Connect Cloud capability where the tracking data of all the counts can be seen at the cloud level. The communication to and from the cloud is made possible where you can even publish those data directly to the display panel from the Remote.
AI based Camera is used in this case to provide the object and LPR ( License plate recognition) but in this demo, we merely do the object detection where the incoming and outgoing cars are being counted.
The AIoT appliances used is the AEC100 Edge Gateway where it provides the following functions in this application:-
- Vehicle counting via AI camera
- counting via loop detector ( optional)
- linking to Dot Matrix Display
- AIOT Edge Connect to Cloud enabled over MQTT
- Web API Data Host for interaction with local system or further integration.
“Demonstration of remote Tablet connected to Cloud for direction interaction of the Smart Parking Display panel”