The Last Mile of the delivery process, where parcels are sorted to reach their final destinations, is complex and challenging. Fortunately for Post and Parcel organizations, mobile computer vision technology allows them to scan barcodes with smart devices to complete all tasks in every area of the Last Mile enterprise, more affordably and effectively than ever before. Here are five key reasons smart devices equipped with mobile computer vision solutions, such...

Retailers who visited the Scandit booth at the recent NRF 2018 Annual Convention & Expo in New York City saw demonstrations of how mobile data capture technology can turn brick-and-mortar stores into connected hubs of seamless retailing. Booth demos included: Scandit Case for Android – This enterprise scanning case works out of the box and offers a variety of ergonomic scanning options for select Android devices. Case for Android delivers a...

Scandit has released the latest version of our Keyboard Wedge for iOS, Android and Windows. Scandit Keyboard Wedge 1.1 expands the criteria users can place on barcode acceptance, and adds a MatrixScan AR feedback feature to enable more comprehensive scan results. Upgrade soon and take advantage of improved performance and a more robust feature set. Here are some highlighted features from the new version. Users can now specify more advanced criteria about...

Scandit has released the latest version of our Barcode Scanner SDK for iOS, Android, Windows and other supported platforms. Scandit Barcode Scanner SDK 5.6 offers the capability to scan passports and IDs, and also improves performance in multiple symbology scanning. Upgrade soon to take advantage of our increased performance and feature set (see release notes for details). Here are some highlights of the new features included in Scandit Barcode Scanner SDK...

PRESS RELEASE Scandit Case for Android scans right out of the box, offers a variety of ergonomic scanning options and reduces mobile data capture TCO San Francisco, CA and Zurich, Switzerland – January 15, 2018 – Scandit, provider of a next-generation mobile data capture platform built on proprietary computer vision technology, machine learning and augmented reality, today released the Scandit Case for Android. The new Scandit Case for Android is the next-generation...

Shoe retailer improves in-store response times, associate productivity Scandit, the leading developer of next-generation mobile data capture solutions based on computer vision, augmented reality and machine learning, is providing the technology for an in-store scanning solution at footwear manufacturer and retailer Clarks. Widely deployed across Clarks retail outlets throughout the UK, the Stock Assist app is available to sales teams on tablets and helps them quickly confirm if a customer’s choices...

Scandit has released version 5.5 of our Barcode Scanner SDK. The latest iteration of Scandit Barcode Scanner SDK includes improved support for DataMatrix codes and initial interoperability for DotCode symbology, as well as ReactNative support for iOS and Android. Enhanced DataMatrix Support Scandit Barcode Scanner SDK 5.5 speeds up the localization and decoding of DataMatrix codes. In particular, the reading of large codes with perspective and non-linear distortions has been greatly improved....

While barcode scanning is important to workflows across the retail enterprise, traditional scanning hardware has not evolved with changing industry needs. In a presentation at Shoptalk Europe 2017 in Copenhagen, Denmark, Scandit CEO Samuel Mueller delivered a presentation, “Cracking the Retail Code with Next-Generation Data Capture,” about the emergence of smart devices as easy-to-use, future-proof mobile data capture solutions for retail. Mueller discussed how barcode scanning streamlines back-of-the-house, in-store, and consumer-facing...