artificial intelligence app development Archives - Winklix

Do you know the difference between cat and cactus ? There are chances that you may or your team may , but this is not the most efficient way you utilise your time . That is where object recognition technology are acting as a time saver for many business organisation . It can also facilitate add on functionality for your customer , specially when you are dealing in app which is concern about image categorisation and content management .\

What Is Object Recognition ?

In simple words , we can define object recognition as technology which has capability to recognise objects in picture or videos with the help of AI software . If you have ever used Google Lens or have used Google Photos in your mobile phone , then tan tana… !! You are already familiar with object recognition .
Right from identification of cover of book to identification of plans in wild , object recognition technology has come a long way .
As it is new technology , many business owners really did not know how this technology exactly works and hence had made an assumption that the access to this technology is only possible by heavily investing on this technology . However this is not the case with object recognition . In fact it has tools which can easily be incorporated by even small and mid sized business in their software .
These tools facilities identification of single or multiple objects in photoset or image . Although Facial recognition is also one type of object recognition technology , but is always treated separately due to its complexity in nature and legal concerns .

How Does Object Recognition Work ?

Before proceeding with how object recognition works , let’s quickly look at the difference between object detection and object recognition . Object detection is concern about locating object in image , wherein object recognition is being used to identify object in given image .

Object recognition is being used to find out more specific categories of objects , such as dog or cat . In some cases , object recognition can even be performed without using AI technology . In those cases template matching or image segmentation is being used to recognise objects .

Even more advance object recognition can be done by following one of the two approaches : machine learning and deep learning , both of the technology have their own pros and cons .

Also Read : What Is Machine Learning & Its Applications ?

Machine Learning

We can define machine learning is training of software to perform certain activity , as in this case recognition objects in photo . You have to provide software set of images and then list feature which can later be used in recognition of object .
Major advantage of machine learning is it necessarily does not require large datasets or computing power , and hence cost of software development is always low .
Disadvantage of this technology is it require more efforts of your team to set up completely . If you have inserted limited photos to include in your trading sets , then your software might not able to identify with accuracy as it has not access to broader set of images .

Deep Learning

Deep learning has ability to adapt Manny different functions or activity , but at the same time it requires large data sets , substantial hardware as well as more computation power . In this approach software has ability to train itself using artificial neural network .
In this images are simply to be labeled as ” Cat ” or ” No Cat ” , and then there will be no extra efforts to be put to train software to distinguish cat .
The downside of this approach is it requires massive datasets which may even contain millions of images which might not be easily accessible for smaller companies to access those information .

Why There Is A Need For Object Recognition Software ?

Object recognition can actively be used in various industry to cater their needs for identification of objects and theory reducing human interaction and time . Human may or may not sort and analyse images at the speed that a well trained algorithm can .
Software also has capability of identifying objects that can’t be even be seen by humans . Object recognition software are also able to detect patterns . As a human being we can get tired of viewing same pattern again and again , while on the other hand software won’t . They have the ability to view more images in a year than human in their entire lifetime .

Where To Find Vendor Solution ?

As in case of any other software development , in object recognition also you necessarily need not to start finding solutions right from scratch . If you are not expertise in handling this technology or don’t have access to datasets , you can use TenserFlow Object Detection API from Google .
Apple also offers machine learning API which is called Core ML , which can actively be used to run object recognition model on iOS device or in cloud as well .

Hire Software Development Company For Your Object Recognition Software

If your team does not have any previous experience with artificial intelligence , then it will be quite hard to crack machine learning . That is why it is important to hire right software development team who have deep experience in handing variety of object recognition tools . Whether you are looking to create solution right from scratch or want pre-trained mobile app to fit for your purpose , Winklix can help you to find perfect solution for your need .

The present COVID-19 outbreak has completely changed what the world meant for all of us . The COVID-19 pandemic has not only impacted economy , but has also largely affected our daily lives , and things as assumed are not likely to return to normal even after pandemic ends . Nobody knows when this pandemic is going to end from the world , and that is the reason many business has been forced to suspend their operations which has lead to affecting their bottom line . But the good news is it has also aids to accelerate development of several emerging technologies . These technological innovations is focus on reducing human to human contact , process automation , productivity increment , all due to social distancing norms .

Upon passing of time , more and more data emerges which offers plenty of rooms for business organisation in order to overcome with challenges that has been bought on by this pandemic and to stand stronger on the other hand for business worldwide . In this article we are going to discuss most emerging mobile trends that business should keep on their hotlist in order to adjust to post COVID-19 world .

Most Demanding Mobile Trends After COVID-19 World

5G Connectivity

List of questionaries about 5G technology and its deep impact on next generation connectivity and services has been circulating worldwide since last year or so . But the fact is technology is yet not widely been available . If you are among those who is thinking 5G is just another upgraded version of 4G , then it is not . 5G is entirely new network infrastructure , and has been assumed to have potential to revolutionise the complete mobile network function . Telecom operators are slow to completely roll out this technology and thereby offering limited 5G service .
But the question is why telecom providers are not completely rolling out this technology ? One of the reason being they are still not confident about the demand it would have from consumer side . However due to present COVID-19 , the 5G market may materialise sooner than expected . In the time of social distancing , everyone has been forced to isolate , thereby increasing the demand for working from home as well as studying from home which creates higher demand for bandwidth .
Long back in October 2019 , CCS Insights has predicted there will more one billion user of 5G by mid 2023 , which clearly states it will take less time than 4G to reach the same milestone . However due to current scenario , wherein people are seeking faster data sharing with increased connectivity speeds , rapid acceleration of 5G technology will facilitate user with meeting higher bandwidth demand and capacity challenges for existing infrastructure will also be addressed .

Cloud Computing

Cloud based mobile applications are already gaining popularity even before the pandemic , due to recent outbreak of COVID-19 , demand for easy access through remote servers as well as storing of large data sets on cloud without effecting device storage is getting attraction throughout the pandemic . On the basis of this metrics , post COVID-19 world , cloud technology will tend to increase for all types of apps .
As the virus spread day by day . people are forced to work from home and demand for online learning models as well as cloud based video conferencing and teaching is skyrocketing . As a result various cloud vendors has upgraded their resources to meet demand , which includes Zoom and Microsoft Teams . Youku and Ding talk (all-in-one platform under Alibaba Group ) in China launched campaign to attend classes at home has facilitated various students to learn in secured environment .
As a way forward , many business and educational industry are more likely to continue to implement this technology as future behaviour of both employees and students will change . As the demand will continue to increase in future , implementing this technology into mobile application will surely become key to success.

Artificial Intelligence (AI)

Post COVID-19 , consumer behaviours will no way go back to normal . Consumer will tend to purchase goods and services online as well as tend to work remotely from home will continue to increase . The roadmap for post COVID-19 world can’t be predicted , but one thing is sure that application of artificial intelligence (AI) will act as a helping hand to adapt to new trends .
AI can be proven beneficial for those who are into retail and supply chain industry .With the additional use of machine learning and data analytics technology , AI can help in prediction of new purchasing pattern as well as delivering great personalised experience to online consumers .
AI tools facilities reading customer behaviour , image recognition , human speech and many other and collect data from these to learn underlying patterns . Their capabilities are extraordinary valuable which aids companies to adapt to next normal once this pandemic subsidise .

Virtual Reality / Augmented Reality (VR/AR)

Not particularly because of this pandemic , demand of AR/VR is already at its high . People are making use of VR headset to play video games , explore virtual travel of world as well as for online entertainment . Now as they are isolated at home , they are making use of this technology to interact with human through social VR platform such as Rec Room , AltspaceVR , Bigscreen and VRChat .
Business is now being seen implementing VR platforms to hold video conferences , train employees , collaborate with team on project as well as making connection with employees virtually . For instance say Scientist worldwide has switched on Nanome which is again a VR software which facilitates molecular design for team collaboration on coronavirus research and its potential treatments .

According to latest eMarketer article , VR headset marker , HTC has held its very first ” VIVE Ecosystem Conference ” solely using VR .

Now as a business and consumers are getting more familiar to this technology , we are more likely to see more virtual video conferences and human interfaces as our new normal sets in .

Voice-Tech In Mobile Solution

As consumers are getting concerned about their mobile devices now a days ( which are touched more than 2600 times in a day ) as it can spears coronavirus . As a result of fear of germs spread , they might make use of voice tech technology which actually have potential to reduce the number of times one touches any mobile phones .
Voice usage will continue to increase tremendously and is expected to expand to other components which are smart and can be major germs hub . For instance implementing voice tech on lights , switches , music players , entertainment components will help in less need to physically touch them .

Conclusion

The aftereffects of this pandemic can’t be predicted at current stage . But one thing is sure , whenever companies begin to shift back to their recovery , the demand for digital transformation initiatives will surely tend to increase at tremendous scale and . This pandemic will force business worldwide to adopt to emerging mobile technologies . Also in order to get ahead of their competitors , business will surely adopt measure to be ahead in the race . As we have stated above , shifting your business towards this advance solution can overcome with business risk which is associated with COVID-19 pandemic and this technologies will also help your companies to run smoothly even now as well as in long terms .