Image Recognition Tech Adapted Android App development

Image recognition or object recognition technology is hugely used and has a rapidly growing global market. As per the market research report, growth will reach 38.9 billion by 2021. This technology can be benefitted all companies, especially for Android app development company to fetch decent ROI.

With the advantage of a smartphone camera, now everybody is capable of taking pictures and making videos. This kind of activity is increasing day by day and the users now share picture and video across social media, apps, website and other digital channels.

Due to the increasing popularity of sharing, businesses are showing their interest and willing to find out the services to support or use all to deliver better and smarter services to their customers.

Image recognition or object recognition is a technology by which a machine or software can learn or they can identify places, people, objects, buildings, business logos and a variety of other images. This process is completed with the help of a special AI called computer vision.

Computer vision is specially designed to process and analyse visual source data such as videos and images. Functional and accurate image recognition Android app development is a quite complex and difficult task.

The photo recognition application first detects and then recognise how an object may look different given changes to its relative position in three-dimensional space and thereafter understand the different patterns that comprise the objects in an image and take all that into account to recognize the same or similar objects in future input data.

The potentiality of Image recognition technology:

This technology can benefit many ways-

It is used to develop the image recognition application for facial recognition, security and surveillance, visual geolocation, object recognition, gesture recognition, code recognition, industrial automation, medical image analysis, and driver assistance.
Sports broadcasting can be benefitted in such a way as detecting when a football team is about to make e touchdown and notifying supporters via their smartphones or via home virtual reality setup.
‘People counting’ method which detects heads rather than bodies and motion will allow for more accurate detecting to take place, in crowded places which can help to build an android application for security services and companies.

Practical examples of image recognition android application benefit:

Social Media:

Two Social media giant company or Facebook and Twitter have benefited from image recognition software. Here the main process is audience engagement because by encouraging users to share images and tag their friends, they can create a more connected experience to further drive social sharing.

E-commerce:

The image recognition technology is implemented on the various eCommerce platform also. Here it is known to us as image search. Shoppers can find the desired product in a faster and easier manner by an image search and it will be exactly what they need.

With the help of AR technology, the combination can help the user to ‘try’ before buying by using their android phone application and camera. Here buyers can ‘try on’ any kind of wearables by opening a mobile device camera through the eCommerce companies android application and pointing it at their leg, hand or face or capture the live video. Now the system would recognize the user’s foot, hand or body and “put” a product on it, showing how the product would look on him/her. That is a really important benefit because users cannot touch and feel the products from an e-commerce store (unlike in physical stores).

Health sector:

The most important areas for using object recognition in healthcare is scanning of MRIs and CT scans intending to identify a disease or its early symptoms through an android application by medical specialists to take timely action and prevent the disease’s development at an early stage. To increase accuracy and offer assistance to the surgeons, it is also used in microsurgical procedures which are performed by robots.

Car Industry:

A self-driving car needs to react fast enough to avoid any dangerous situations and that’s where image recognition android application can help resolves the issue.

Apart from many more benefits, there are some challenges are also present in the image detection Android app development process such as data cleaning and hardware processing power.

Source : NU Vision Lab

Challenge 1:

Data cleaning involves identifying and removing incorrect or inconsistent data that doesn't match the class of object it's been identified as. It can be easily explained in case of face recognition android application could erroneously include faces from a tv screen or a picture frame hanging on the wall, or even shapes that approximately resemble a face (but aren’t), when the goal is to only include faces belonging to live humans in the image.

Challenge 2:

It is fact that image processing algorithm is incredibly resource-intensive, especially in a high-definition world of increasingly high-resolution images and videos, it's unlikely that user would be able to create a sufficiently powerful image recognition system without system resources far beyond what’s needed for most typical applications.

Wrapping up:

Image recognition or object recognition applications have shape-shift modern business development. The development of this kind of android application needs lots of investment, time and experienced developer. If you think to develop an android application to solve this kind of purpose then you can shake hands with Vision and Solutions in Australia, a leading Android app development company serving for years to develop more tech adopted, flawless and sustainable mobile application for shaping up your business to get higher rank and fair ROI.

Our experienced team has proven knowledge in this field and they can help from identifying requirements for defining a project roadmap to delivering the machine learning technologies you need. Our company can bring all the benefits that come with incorporating image recognition technology into your business.