Scandit Scanning Performance
Note: This information reflects older versions of Scandit's Barcode Scanner SDK and will be updated shortly. For updated information regarding our new Scandit Barcode Scanner SDK v3.0.0 see our recent blog post.
Thanks to its advanced image processing technology, Scandit is immune to factors that commonly affect mobile scanning performance, including lighting and shadows, product packaging and barcode size, color and orientation. It consistently delivers peak performance and superior usability.
Best Scanning Speed
Fast scanning speed is crucial for a good user experience. User studies comparing different barcode scanners* show that Scandit significantly outperforms competing barcode scanning solutions. Check out the videos
that illustrate the unmatched scanning speed of Scandit.
Unmatched Scanning Reliability
Scandit excels at scanning “challenging barcodes": tiny barcodes, barcodes with shadows or barcodes printed on warped or uneven surfaces. Studies* show that competing barcode scanning solution do not only not recognize some barcodes, they also report wrong barcodes.
Blurry Barcode Scanning
Scandit doesn’t require autofocus, which means it still works expertly with devices like the iPhone 3G or the Nokia E7
. Also, since even autofocus cameras cannot focus on objects very close to the camera or on tiny objects, Scandit’s advanced scanning capabilities overcome barcode blur on all devices.
Barcode Scanning at Any Angle
Aligning barcodes horizontally can be tedious. So with Scandit, you don’t have to. Our groundbreaking barcode orientation detection lets users scan with ease at any angle.
Barcode Size Does Not Matter
First generation barcode scanners still require users to place a barcode precisely between two markers. Scandit has an impressive dynamic range, where the barcode is recognized no matter where it’s placed—far away or close to the camera.
* The figures shown above result from a scientific user study with 16 participants. The participants were asked to scan a number of grocery products with different barcode scanners on different smart phones. The users and their smartphone screens were videotaped resulting in gigabytes of data that were subsequently analyzed. For more information, contact us at email@example.com