Bigger projects require bigger storage. That’s where Wikitude’s Cloud Recognition comes in! The Wikitude SDK includes on-device or offline recognition, meaning, your app has the ability to recognize up to 1,000 images without a network connection. However, there are projects and apps that need to recognize more than 1,000 images. The solution for this is our cloud-based image recognition service.
Wikitude’s Cloud Recognition service allows you to work with thousands of target images hosted in the cloud offering you a storage limit of 100GB. Wikitude’s technology provides for a very quick response time and high recognition rate.
Quick Wikitude Cloud Recognition – Facts
- Cloud based Image Recognition
- Best suited for apps requiring recognition of more than 1,000 target images
- Fast, scalable and reliable ONLINE recognition
- Stable image tracking upon recognition
- App needs to communicate with recognition server
- 1,000,000 scan calls to the cloud service per month in each commercial license
- Dedicated server option available
- Cloud Documentation
Expand your AR experiences with Cloud Recognition
Bring your large collection of images to life while taking full advantage of the powerful features offered by the Wikitude SDK.
The Wikitude SDK handles all the complexity of network load and sending images to the cloud server for you. Once an image has been recognized in the cloud, the Wikitude SDK takes over for local tracking, providing all the same augmented reality features you’ve come to love. Learn more about the Wikitude SDK and get started today!
Bigger projects require bigger storage. That’s where Wikitude’s Cloud Recognition comes in!
Continuous Search
Camera constantly looks for a target image in the live feed
Tap to scan
Take a single photo of the target image and send it to the Cloud RecognitionPick Continuous Search if you prefer to constantly scan for target images. If you would like your users to take a picture of target images instead, the Tap to Scan option is for you.
Read more in the Cloud documentation.
Example: Wine label cloud recognition
An enterprise use case for the Wikitude Cloud Recognition service can be found in the wine industry. Here, a vast number of different packaging and labels require a large database of targets that can be scanned and recognized.
1.000 target images would be a good start, but in industries where there are millions of options, the Wikitude Cloud Recognition service is the suitable addition to the Wikitude SDK.
Cloud recognition may have individual requirements, we understand that. Should you have any questions or custom specifications for what you are trying to build, please contact us!