India's Largest NSE Listed Cloud Provider

Power your application with our infrastructure

When you’re building a web or mobile application, you need to develop and deliver your app quickly. Equally important, your application needs to be fast for end users. That’s why you should consider E2E Networks to power your app’s backend. We offer compute, storage, databases, and networking, through a developer-friendly interface optimized for productivity.

Benefits

  • World-class GPU Infra

    Public Safety and Home Security

    Computer vision with image and facial recognition helps quickly identify unlawful entries or persons of interest, resulting in safer communities and a more effective way of deterring crimes.

  • World-class GPU Infra

    Authentication and Enhanced Computer-human interaction

    Enhanced human-computer interaction improves customer satisfaction such as offering products based on customer sentiment analysis in retail outlets or faster banking services with quick authentication based on customer identity and preferences.

  • World-class GPU Infra

    Content Management and Analysis

    With millions of images added every day to media and social channels. The use of computer vision technologies such as metadata extraction and image classification greatly improves efficiency and revenue opportunities.

  • World-class GPU Infra

    Manufacturing Process Control

    Well-trained computer vision incorporated in robotics improves quality assurance and operational efficiencies in manufacturing applications, resulting in more reliable and cost effective products.

  • World-class GPU Infra

    Indian Datacenter

    Well-trained computer vision incorporated in robotics improves quality assurance and operational efficiencies in manufacturing applications, resulting in more reliable and cost effective products.

Fast and flexible computing

  • Facial Recognition

    Face Recognition algorithms capture more than just features. It is programmed in a manner that enables it to capture all the unique factors of a face and that too from multiple angels. For example, it also measures and memorizes the distance between an individual’s eyes and mouth. Siamese Network in computer vision is used to carry out facial recognition.

  • Augmented Reality

    Augmented Reality (AR) first takes a real-world environment and then adds a computer-generated input to it. Several parts from both of the environments, real and augmented, can interact together and even digitally manipulated. Therefore, AR can simply be defined as an amalgamation of both of the worlds. It renders a 3D registration of real and virtual objects.

  • Visual Search

    Visual search uses images as keywords as opposed to texts and searches for related images, websites, blogs, or any other posts. Visual Search Engine is programmed in a manner that bridges the time gap between your search. For example, Google Lens allows the users to look for objects through the lens and get similar results as per their image search.

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  • Segmentation: Image segmentation is about classifying pixels to belong to a certain category, such as a car, road or pedestrian. It’s widely used in self-driving vehicle applications, including the NVIDIA DRIVE software stack, to show roads, cars and people. Think of it as a sort of visualization technique that makes what computers do easier to understand for humans.
  • Classification: Image classification is used to determine what’s in an image. Neural networks can be trained to identify dogs or cats, for example, or many other things with a high degree of precision given sufficient data.
  • Detection: Image detection allows computers to localize where objects exist. It puts rectangular bounding boxes — like in the lower half of the image below — that fully contain the object. A detector might be trained to see where cars or people are within an image, for instance, as in the numbered boxes below.