Edge Computing Applications: these are a few of my favorite Things!
When it comes to smart Internet of Things (IoT) applications in a variety of industries, edge computing is considered to be quite valuable. Enhanced performance, productivity and security are among the benefits it delivers.
The Value Of Edge Computing In Finance And Banking
The handling of distributed computing at a wider scale and higher speed is made possible by edge computing. In the field of finance and banking, it has a lot of applications, including:
Securing ATMs: Edge Artificial Intelligence can be used to boost the security of ATMs by introducing image recognition on Automated Teller Machines to facilitate video feed analysis at the edge. No human intervention is necessary. Furthermore, the transfer of data to the cloud can be done automatically. To prevent any issues, the ATM can shutdown automatically, if it is tampered with in any way. It will also send a notification to the bank, prompting them to reach out to the police.
Privacy Of Data: To minimize the chances of data theft, it is necessary to abide by strict security and privacy guidelines when using cloud computing to transfer data to a central point. However, there is still a chance that data might be lost. Edge computing makes it easier to ensure data privacy. It reduces the need for cloud computing, and the associated risk of data loss, by enabling the deployment of applications at local branches of financial institutions and banks.
The occurrence of credit card fraud is not limited to online instances only; it also occurs offline as well. Don’t give hackers any opportunity to breach security and steal information. To find out more about Credit Card Fraud Detection, click here.
The Value Of Edge Computing In The Field Of Manufacturing
In addition to preventing their occurrence, Edge AI also facilitates swift response when it comes to handling on-site accidents.
Condition Based Monitoring in Manufacturing: Manufacturers normally struggle to access data that is generated by their machines during their operational processes, which can play an important part in monitoring data patterns and making accurate and informed decisions. Central servers are frequently overloaded by the data generated by these machines. Cleaning data at the edge helps ensure that only essential data is sent to the central server. This way, manufacturers can process the important data as the burden on the central server is reduced. Manufacturers can be able to generate new revenue streams through remote monitoring of their assets – for instance, they can ensure that customers only pay for machine up-time by scheduling maintenance service in line with service condition.
Edge Computing And Predictive Maintenance: Designed to help manufacturers schedule and conduct maintenance before the occurrence of a potential breakdown, predictive maintenance can be defined as a process use to predict machine/equipment failure before it happens. Due to the challenges surrounding the integration of insights from operational technologies into IT systems, the full realization of predictive maintenance has been hindered. Edge computing can help improve data accessibility, and eliminate the cost of data transmission to the cloud, by making the processing of data closer to the device generating it possible.
The Value of Edge Computing In Retail
The lifespan of stores can be extended by the use of Edge Computing in the retail industry. Retail services and operations can be enhanced with it.
Collection and Analysis of Big Data: Real time analysis of data at the point of generation is made possible through data collection and analysis at the edge. With it, retailers can use innovative artificial intelligence and big data technologies with ease thanks to edge computing. Therefore, retailers are able to boost operational efficiency to higher levels as they get on-site insights.
Management of Inventory: It is important to ensure efficient and secure inventory management in order to provide customers with the best experience. It is essential to understand the needs of the customer and ensure that products are available whenever the customer needs them; this enhances service delivery. Artificial Intelligence can monitor inventory and take any necessary action using in-store intelligent video image recognition. For instance, flash sales can be recommended for in store shoppers in case some items are found to be overstocked. Edge computing can ensure uninterrupted system operation even in low network situations.
Since a data center’s technical requirements are normally raised by the applications powered by AI, costs incurred will increase. To find out more about AI in Edge Computing, click here.
The Value of Edge Computing in The Motor Vehicle Industry
The use of Edge Artificial Intelligence in the automobile industry has shown some promising results. The self-driving car is a great example. The computing decisions are made inside the car – everything from, monitoring battery and engine health, steering wheel handling and the likelihood of vehicle collision.
Powering Driver Assist Features: Dangerous driving situations can be easily picked up by AI. To prevent an accident, the AI can take emergency control of the vehicle or notify the driver. It is possible to prevent accidents and save lives, wit driver assist steering, emergency braking, cross traffic detectors and blind spot monitoring among others.
Predictive Maintenance: Low battery indicators, oil lights and check-engine lights are not the only alerts on vehicles featuring Edge Computing solutions. Issues can be picked up before they affect the operation of a vehicle, because Artificial Intelligence monitors hundreds of sensors at the same time. By tracking thousands of data points per second, Artificial Intelligence can predict the failure of components before it occurs. It deploys an ML (Machine Learning) model, trained by an example dataset, like turbofan degradation simulation data. To find out more about Predictive Maintenance using Machine Learning, click here.
Recognition of Drivers: It is possible to identify the driver operating the vehicle, using advanced Artificial Intelligence facial recognition algorithms. Furthermore, the system can automatically adjust the vehicle temperature, mirror and seat position according to the individual preferences of different drivers.
Identification of the Driver: It is possible to detect if the driver is inside the vehicle or not using Internet of Things (IoT) sensors.
Monitoring Drivers: The IA system can remind the driver to keep their eyes on the road, by detecting distracted driving through monitoring of head position, how open the eyes are and eye gaze.
The Value of Edge Computing In Healthcare
To improve the productivity in the operations of the healthcare industry, Edge Computing introduces enhanced patient output, accuracy and efficiency.
Health and Safety Applications: In case a patient travels in an ambulance from home to the hospital while their health is critical, it can be difficult to transmit their patient data to the cloud. It is possible to take recommended actions and analyze data on the spot with the help of Edge Computing.
The Value of Edge Computing In Agriculture
High speed internet and other data transmission resources may not be available in the locations of some farms. Farmers can make better decisions and process data generated at the farm with the help of edge computing.
Evaluate the Quality of the Soil: You can check the location of the farm, color of the soil and examine the soil moisture levels using a mobile device.
Monitor the Health of Animals: Edge computing can also provide useful insights about the health of farm animals by tracking sensor data like heart rate and temperature among others.
Analysis of Crop Health: It is possible to check the condition of leaves based on visual appearance, like pores, color, pest, rodent and/or insect bites, using a predictive computation engine, like a drone.
Checking the Health of Leaves: The health of leaves, based on insect, rodent or pest bites/attacks, pore and color, can be examined using drones.
