Android App Development

Google Cloud Vision API in Android App

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The most important question that many technology experts face today is whether the technology is going to replace human brain? With the inherent inventions in latest technologies such as the Internet of Things (IoT) and Artificial intelligence, the question has become more and more valid one. There is increased interest in technologies such as Augmented Reality and Virtual Reality along with Advancement in Image recognition but replacing human brain remains to be a distant reality. The main reason behind is the execution as well implementation of these technologies still lies in the hands of humans, after all.

One such recent innovation has been announced by Google related to Android app development. The announcement was made recently, and it is the Google Cloud Vision API. It provides the development companies a way forward to view the advanced machine learning algorithms in whole different perspective.

The vision here clearly defines the ability to view as the API now has enhanced potential to understand the image content and process its various pieces separately. It returns a unified result with great swiftness. This new intelligent Cloud API can easily scan the entire image as well as video for conducting any analytics. These analytics include simple object identification to face recognition. It also can do landmark detection as well as emotional analysis, to name a few. So, if you are an android developer create an Android app which requires factional recognition, you are provided with this great API to integrate into your app and get its inherent functionality with great speed than ever before.

Now let’s talk about the different image analysis techniques which are supported by this Google Cloud Vision API.

With the dependency on machine learning techniques, this API can assist in searching individual video frames. It is a completely new way to find out important subject items within any archived videos and allows it to tag it. This can bring monetization opportunities to most of the old videos. The reason behind this is that most media companies have their own massive collection of media files as well as data. This technology helps them to reap benefit from old content they have.

Also, it can also help in identifying bulk of items from Knowledge Graph of Google and then integrate it with the metadata offered from Google Image Search. It is more like put several images in a single packet.

There are few viral roles that the Vision API currently fits the best. One of them is Landmark detection. It is speedily becoming part of Android application development. With this API, it can scan the picture, and it can identify the location you are at, automatically and then add a caption to it. Even though you can have location data which is embedded in these images as taken by modern DSLRs without any GPS capabilities, you can still find the landmark using this API. These landmarks also provide power to “Search by Image” feature available in Google Images. This allows the developers to create a more robust app with added features.

Another key implementation of this API is its inherent capability to detect broad features from any image like a face or a flower or anything that needs detections. It can also identify and mark the number of faces which are there in the image and then identify the placement of every facial feature.

Using this Cloud Vision API, the users are now capable of identifying logos. However, this still requires more improvement but Google is trying hard to make this work like its other features and functionalities. It will allow the users to have better recognition of logos which can help in different industries such as mobile shopping.

Another significant aspect of this API is that it helps in identifying the significant colors of the image and then notify the user. Even though we currently have Palette library for Android, this can still add on to the system.

One of the most salient feature of this API is that it recognized the emotional attributes of the individuals present in the image like their smile, anger and other types of images. It can this add the fun element to the image. This will allows to integrate with social media apps which helps in tagging friends having various emotions.

With Optical Character Recognition, also known as OCR, it detects the text present in the images as well as videos. It also has automatic language identification which ranges through a different set of languages.

Conclusion

The latest technologies are enabling developers to get more out of the image or videos. The media companies are investing heavily in these technologies. Google’s Cloud Vision API remains to be at the forefront. It allows various salient functionalities which can be essential for companies who wish to hire an Android developer to create more immersive apps. With functionalities like Landmark detection, text recognition, logo detection, etc. this API is opening a whole new aspect to Android app development.

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