iOS Development

iOS Experts

Hiring an expert iPhone application development company as a technology partner is the key to creating a successful iOS solution. Custom iOS development services require certain skills that are way beyond most developer’s traditional experience. Many digital projects fail due to developer’s lack of understanding of client’s business model. The discovery process enables us to review your business, plan and do relevant research to grasp your vision before we identify the most suitable solutions to problem. Ultimately, this helps us to answer strategic questions concerning your product vision, target market and more.

Our designers through extensive competitor analysis, market and user research, will precisely comprehend your brand to delight your target audiences.

 

Our team of skilled iPhone app developers will take your idea and transform it into a feature-rich iPhone solution with highly interactive and customized features.

You will get an exclusive app that reflects your brand’s mission and caters to the specific tastes of your end users.

DEVELOPMENT SERVICES OF OUR IPHONE APP DEVELOPERS AND SPECIALISTS:

  • Project estimate
  • Assessment of user needs
  • Requirements engineering
  • Prototyping
  • Development
  • Bug fixing
  • App promotion

CONSULT WITH AN iOS APP DEVELOPMENT SPECIALIST TO:

  • Verify your app idea for viability
  • Build a powerful code for iPhone app
  • Get a sleek, user-friendly design
  • Develop corporate branding
  • Leverage customer feedback with detailed business analytics

Take the first step in iPhone app development. Get in touch with us by filling up the Contact us form at the bottom of this page.

Augmented reality & Apple's ARkit

In the 2017 Apple Worldwide Developers Conference, Apple announced a tool called ARKit, which
provides advanced augmented reality capabilities on iOS. Augmented reality is creating the illusion
that virtual objects are placed in a physical world. Unlike other augmented reality experiences that
virtual objects are just hovering over the real world scenario, ARKit allows for fast and stable motion
tracking that makes the objects look like they are actually being placed in the real space.

ARKit 3

ARKit 3 delivers an incredible awareness of people. With People Occlusion, ARKit 3 knows where people and AR objects are and properly occludes the scene. With Motion Capture, ARKit 3 tracks human movement as input to the AR scene. It can also track up to three faces at a time.

  • People Occlusion

Now AR content realistically passes behind and in front of people in the real world

  • Motion Capture

Capture the motion of a person in real time with a single camera. By understanding body position and movement as a series of joints and bones, you can use motion and poses as an input to the AR experience

  • Multiple Face Tracking

Tracks up to three faces at once, using the TrueDepth camera on iPhone X, iPhone XS, iPhone XS Max, iPhone XR, and iPad Proto power front-facing camera experiences like Memoji and Snapchat.

  • Simultaneous Front and Back Camera

You can simultaneously use face and world tracking on the front and back cameras.

  • Collaborative Sessions

With live collaborative sessions between multiple people, you can build a collaborative world map, making it faster for you to develop AR experiences and for users to get into shared AR experiences like multiplayer games.

ARKit has three distinct features:

1) Tracking:

Tracking is the core functionality of ARKit. ARKit uses Visual Inertial Odometry (VIO) to accurately track the world around it. Visual Odometry means estimating the 3D pose(translation + orientation) of a moving camera relative to its starting position, using visual features. VIO fuses camera sensor data with CoreMotion data. These two inputs allow the device to sense how it moves within a room with a high degree of accuracy without any additional calibration. More importantly, there is no external setup required, no pre-existing knowledge required for the environment, as well as no additional sensors required.

2) Scene Understanding:

Scene understanding is the ability to determine the attributes or properties about the environment around the device. With ARKit, iOS device can analyze the scene presented by the camera view and find horizontal planes in the room. ARKit also uses the camera sensor to estimate the total amount of light available in a scene and applies the correct amount of lighting to virtual objects. The hit testing functionality provides an intersection with the real world topology so virtual objects can be placed in the physical world.

3) Rendering:

ARKit provides a constant stream of camera images, tacking information and scene understanding which can be inputted into any renderer, including SceneKit, Metal, SpriteKit, and third-party tools like Unity and Unreal Engine.

Why using apple ARkit?

A big audience of Apple devices

  • Quick & effective development tool for
    the augmented reality applications on
    iOS devices
  • No additional costs, as it is part the
    Apple developer tool kit.
  • Develop & deploy AR applications fast
    and secure.
  • Knowledge database and sample
    application available.
  • Wide availability of Apple iOS devices

It is a framework to develop augmented reality applications on iOS devices.  ARKit will shorten the development time, improve the quality and bring the new potential for the augmented reality applications on iOS.

Apple Core ML(Machine Learning)

A framework for developers to run machine learning modes on apple devices, Core ML is build on top of two previously released libraries.

Core ML is the foundation for domain-specific frameworks and functionality. Core ML supports Vision for analyzing images, Natural Language for processing text, Speech for converting audio to text, and Sound Analysis  for identifying sounds in audio.

 

Low Latency and Near Real-Time Results: You don’t need to make a network API call by sending the data and then waiting for a response. Availability (Offline), Privacy, and Compelling Cost as the application runs without network connection, no API calls, and the data never leaves the device. Core ML is optimized for on device performance, which minimizes memory footprint and power consumption. Running strictly on the device ensures the privacy of user data.

Core ML is a very powerful tool and integrates nicely with the other machine learning frameworks from Apple. Real-Time Image Recognition, Face Detection, Text Prediction, and Speaker Identification represent some of the many innovations made possible with Machine Learning using Core ML.