Scalability

Scalability

Total scalability because the MorphCast Emotion AI engine, working on the client side, uses the resources of each individual client. This fact completely solves every bottleneck of a cloud infrastructure.

Client-side technology for complete scalability

The scalability is an important feature for any technological system. And it is crucial for those who would have to manage large amounts of data or users. In traditional systems, the ability to scale is often limited by the resources of a central server or cloud infrastructure. However, we designed MorphCast Emotion AI engine to work on the client-side. This allows it to take advantage of the resources of each individual client to handle increasing loads and demands.

One of the major advantages of client-side processing is the elimination of a central server or cloud infrastructure as a bottleneck. In traditional systems, a central server or cloud infrastructure can become overwhelmed when handling large amounts of data or users. This can lead to slow performance and even system crashes. However, by using the resources of each individual client, MorphCast Emotion AI engine can handle increasing numbers of users with simultaneous requests without any degradation in performance.

Another advantage of client-side processing is that it does not rely on a constant internet connection. Many cloud-based systems require a constant internet connection to function properly. This can be a limiting factor in remote or offline environments. However, MorphCast Emotion AI engine can continue to function even if there are temporary disruptions in internet connectivity. And this makes it more versatile and reliable.

Furthermore, the client-side system does not consume bandwidth to send camera video streaming to a server, eliminating the user’s bandwidth cost compared to a server-side system.

Reliable, versitle, useful and effective

In conclusion, the use of client-side resources in MorphCast Emotion AI engine allows for total scalability. By eliminating the need for a central server or cloud infrastructure, and by not relying on a constant internet connection, the system can handle an increasing amount of load or demand without any degradation in performance. This makes it more reliable, versatile, useful and cost effective in all scenarios.