Amazon Rekognition vs. UXCam App Analytics

Amazon Rekognition is well suited for all image and videos analysis. Also, deep learning projects for image and video can easily be done using this. It is very easy to use so a beginner can also use it.

Incentivized

UXCam App Analytics help identify the user pain points and improvement areas within our app. It helps observe the app from a customer's perspective and hence communication around any new updates with stakeholders get easy. These can be times when we aren't able to view the complete recordings due to delays in loading or randomisation of samples.

Incentivized

• Image tagging is very good.
• Object detection is precise.
• Video tagging has become very easy using Rekognition.

Incentivized

• User flow mapping. It shows how users are navigating in the app.
• App crashes
• User session recordings
• Segmentation on devices, OS versions, processors etc

Incentivized

• The cost is bit more for small scale companies.
• For text processing, OCR is not available in amazon rekognition.
• Only facial search is available in image search.

Incentivized

• Loading time is high due to which we have to wait a lot sometimes
• In heatmaps, more properties can be added eg. User cohort, experiment id
• Provide filters to easily check the recordings by screen and feature dropoffs

Incentivized

Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process.

Incentivized

Support of Amazon is great. So far we are having a great experience using it.

Incentivized

It's easy to implement and its documentation is great compared to CNTK.

Incentivized

UXCam provided higher coverage of features than Mixpanel or Inspectlet standalone. In fact, it has the features if you combine both the products which is amazing. In a single integration I can get multiple use-cases covered.

Incentivized

• The best thing it made our work fast.
• It reduces the chance of failure of a project which is based on image or video processing.
• We can assign anyone in our team to work on this as it very easy to use.

Incentivized

• Improved conversions and funnels
• Better user experience and NPS
• Achieving our ambitious yearly targets well before year end

Incentivized