The coming years will be heavily shaped by technology. Both Government and the Private sector can benefit from technological innovations. But most of it will depend on how they choose to leverage its power.
Amazon’s Rekognition is such a tool. It can help restore social security, but at the same, it can also pose a great privacy concern for citizens. Recently, police in Orlando and Oregon’s Washington County bought Rekognition. They wished to use Rekognition for facial recognition through municipal surveillance systems.
I will let the readers decide if its beneficial for the overall society. But for now, let’s look at some other real-life implementation of Rekognition.
Real-Life Implementation of Rekogniztion
Pinterest is one of the most widely used Social Media Platforms. This platform provides its users inspiration for different activities that they love doing.
Quick Stats about Pinterest
- 70 Million Monthly Active Users.
- 50 Billion Pins.
Its users get a chance to explore new ideas from a vast catalog of media files. Each user gets to search through all its posts and pin any that they might want to use for later use. Furthermore, users can follow other users and their boards.
So how does Pinterest leverage the power of Rekognition? If you have visited Pinterest, you have seen the millions of visual content readily available there. The visual contents are meant for inspiration, which makes the texts within the visual contents significantly importantly. For instance, if the Pinterest team finds a particular visual content containing text getting more pins, it has a valid reason for conducting an inquiry into why is so?
This is where Amazon Rekognition can be greatly helpful. The image above contains instructions on how to build a Pergola, posted by Popular Mechanics on Pinterest. The users can easily understand the instructions guideline depicted in the picture. But can Pinterest extract literary value from visual content? Most importantly how can its management team ensure growth if it doesn’t understand the contents of its visual contents and most importantly which posts get more pins? Yes, it can deploy hundreds of workers who will scan these content and document their literary value. But is that feasible?
The Text in Image of Amazon Rekognition feature can be used to extract literary value from the visual contents. And as this system is scalable, it perfectly suits Pinterest, which is always growing. Pinterest is already using Rekognition. They will benefit greatly from this technological integration. To put it in words, Pinterest will receive meaningful insight into images that contain text.
Wrapping Up!
In conclusion, let’s talk about Public surveillance. You should not worry about what will happen if other nations start using Rekognition for Public Surveillance. In fact, on 25th of June, Orlando has confirmed that it no longer uses Rekognition for surveillance purposes. They have discontinued the pilot project. I think this is a great time to figure out other ways of implementing this technology.
What are your thoughts? What do you think can be a better use of Rekognition? Please let us know in the comments section.
