Edge AI, is this the end of Cloud?

These days, companies are using cloud services to receive and process the data they gather from sensors, cameras, and services. However, the amount of data is getting so massive that sending them and managing them is becoming increasingly expansive. This is where Edge AI comes in, a combination of Edge Computing and Artificial Intelligence.

Edge AI is a system of AI-equipped chips that are on board multiple devices. These devices can be installed and set up much closer to the sources of data. Although these chips process with less processing power and maybe slower action, they can provide invaluable services in terms of receiving and processing the data.

Object detection is one of the essential applications of Edge AI. An AI-enabled chip can be added to a camera, and the uses are endless. These systems can be used in a fast-food parlor or a restaurant to detect the number of people on the waiting list. Then, the system can calculate the probable waiting time and the amount of raw material needed for the restaurant.

Edge AI systems’ great advantage is that they are equipped with machine learning algorithms, and the more you use them, the more accurate their calculations get. What’s more, you won’t need to send the data to the remote cloud server or have a data center nearby. Everything happens on the camera system with the least amount of latency.

Edge AI, object detection applications include postal services, factories, traffic control systems, and many more. These systems are highly cost-effective; therefore, even small businesses can install and use them to optimize their services and costs.

This is another way Edge AI can save industries millions of dollars in the long run. Factories and manufacturing units usually work with machines that cost millions of dollars. The cost for these machines’ maintenance and repairs can be daunting on the business as well. Therefore, it is much more efficient to install a system to detect any potential damage before it happens.

With an Edge AI-enabled robot, camera, or computer, factories can supervise their machinery constantly and send a warning every time something is working abnormally. Additionally, the machine learning algorithm makes sure that the system issues fewer and fewer false alarms in time.

Another industry in which Edge AI can play a crucial role is the automotive industry. First and foremost, Edge AI can be essential in autonomous vehicles. These systems can use Edge AI-enabled cameras to navigate heavy traffic and avoid accidents with other cars or passersby.

Also, in electric cars, Edge AI can predict when the battery will need maintenance or changing. This preventive measure can save your vehicle from endless damages that stem from a malfunctioning battery.

Finally, Edge AI can be set with the car owner’s biometrics so that he/she can enter and start the car without a key. These systems include a face recognition camera that interacts with a Bluetooth connection on the owner’s phone. These two collaborate to detect the person approaching the vehicle, and in case it is the owner, open the door or start the engine.

Edge AI can be used in retail services as well. In this case, you can add Edge AI to various sensors that gather different types of data. This data is locally analyzed, and the necessary alarms are issued if necessary.

First and foremost, Edge AI-enabled sensors can measure the number of products in stock and manage online and offline sales simultaneously. These systems can be implemented on cloud services as well. However, Edge AI is far more affordable, and so even small businesses can use them in their warehouses.

In case the retail object is fresh produce and/or raw food, the sensors can detect the expiry date. Then, the system can automatically deploy the products in the order of their expiration. Or it can prevent the automatic sales system from sending out products that are too old or have gone bad.