Amazon Rekognition Reviews

The ability to analyze and identify objects, people, text, scenes, and activities in images and videos is accurate. Its versatility makes it valuable. Easy to implement and easy to use.

Customer service is 24x7 and easy integration.

privacy issues, especially regarding facial recognition technology. Critics worry about its use in surveillance and the implications for individual privacy and civil liberties.

Facial Analysis,

Text Detection: Extracting text from images, making it useful for applications involving OCR (Optical Character Recognition).

It is so easy to integrate with my project. I used it for the user login via the face. It can easily distinguish between person who is far and who is close. And even can recognize when

They don't have to identity a specific object. Like if given water bootle and soda bottle, it will predict it as a bottle. But are doing good and hopefully one day they will achieve that.

I was logging into using the face of the user. So I was using amazon rekognition for that.

I like the ease of using a tecnnology that is very innovative

There is nothing that I dislike about this product

Facial login systems

Recognition of doctors as they enter patient rooms

The ability to plug and play. Do not need to reinvent the wheel. The services and capabilities are awesome.

Nothing as of yet.but will keep you posted

Embrace it

We are trying to still look for the perfect business case. We are at proof of technology stage.

This software has allowed us to remove a very expensive third party library that was out of date. We have successfully rolled this product into production.

The only thing that I disklike about rekognition is that some face points are not recognized currently. This will mostlikely come with time.

Finding face points for school pictures.

I love that Amazon Rekognition is so easy to use. Even if you haven't every used anything like it before you will have not problem getting started.

Honestly I like most everything about this product. My only dislike really is that some of the features although great do seem to be a bit limited.

Amazon Rekognition has allowed me to filter through images at a quicker pace than I could before which allows for a more productive day.

Smart, game changing software. Unbelievably accurate and exquisitely unique.

I enjoyed all aspects of this software; nothing to dislike.

Safe analysis of potentially inappropriate content; the facial recognition capabilities is before its time.

It's very fast and not at all complicated

Nothing so far, I find using it has saved me a lot of time

Identifying New clients and keeping track of older clients

As always, Amazon has put alot of thought and effort into building a product that is well thought out and easy to use.

As with all technology, the product is only as good as the people that are behind the scenes programming and developing. Bezos has proven time and time again that Amazon will not fail it's consumers. Time will tell.

We are aptly able to identify subjects visually that would otherwise be missed by a single individual.

One of the most impressive aspects of Amazon Rekognition is its robustness in image and video analysis. It excels in accurately identifying objects, scenes, and faces within images and videos, enabling powerful content analysis and search functionalities. Its facial recognition capabilities are particularly noteworthy, allowing for facial analysis, verification, and indexing at scale. Additionally, its integration with other AWS services and ease of use through APIs make it an efficient tool for developers and businesses looking to implement sophisticated image and video analysis functionalities in their applications.

One of the concerns regarding Amazon Rekognition, as with any facial recognition technology, revolves around potential privacy and ethical implications. There have been discussions about the use of such technology in surveillance, raising issues related to privacy violations and the potential for misuse. Additionally, there have been concerns about the accuracy of facial recognition algorithms, especially in terms of potential biases and errors, which could lead to incorrect identifications or perpetuate societal biases. It's essential to approach the use of facial recognition technology with careful consideration of these ethical and privacy-related aspects.

Amazon Rekognition addresses several challenges related to image and video analysis, benefiting various industries and applications:

Facial Recognition: It provides accurate facial analysis, verification, and recognition, benefiting security systems, user authentication, and personalized user experiences in applications.

Object and Scene Detection: The ability to identify objects and scenes within images and videos helps in content analysis, metadata tagging, and visual search functionalities, benefiting e-commerce, content management, and visual media industries.

Text Recognition: Amazon Rekognition can detect and recognize text in images, enabling text extraction and analysis, beneficial in document processing, OCR applications, and content indexing.

Moderation and Compliance: It aids in content moderation by detecting explicit or inappropriate content, assisting social media platforms, content-sharing platforms, and compliance-sensitive industries in maintaining appropriate content standards.

Automation and Efficiency: Its API integration and scalability enable automation of various tasks related to image and video analysis, saving time and resources for businesses implementing these features.

Overall, Amazon Rekognition's capabilities streamline image and video analysis processes, enhance decision-making through data insights, and improve user experiences across a wide range of industries and applications.