Building Logistics
Building Logistics is a comprehensive solution that manages the incoming flow of packages in buildings, offices, universities, and hotels, ensuring seamless tracking, scanning, sorting, and recipient notifications for each package. With PackageX’s advanced AI scanning technology, the system captures text, QR codes, and barcodes to ensure flawless package intake, enabling efficient package management. The platform also features data validation, automatic contact matching, customizable notifications, and chain of custody tracking, all designed to improve delivery workflows and reduce errors. By providing a more efficient system, PackageX increases delivery speed, accuracy, and overall operational efficiency, making it the ideal choice for managing package logistics in high-traffic environments. With 99% accuracy in package intake, zero lost packages, and twice the efficiency of traditional methods, PackageX delivers a seamless and hassle-free recipient experience.
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PackageX OCR Scanning
PackageX OCR API turns any smartphone into an incredibly powerful universal label scanner. It can read every bit of text, including barcodes, QR codes and other information on the label.
Our OCR technology is the best in the industry. It uses proprietary algorithms and deep learning models to extract information from labels.
Our OCR API has been trained using information from more than 10 million labels. This allows for the highest scanning accuracy in the market, at over 95%.
Our technology can scan in low-light conditions and read labels from any angle.
Create your own OCR scanner app to eliminate pen-and-paper inefficiencies.
Our OCR scanner allows you to extract information from printed text or handwritten labels.
Our OCR software is trained using multilingual label data extracted in over 40 countries.
Detect and extract information from barcodes or QR codes.
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Digimarc Discover
The Digimarc Discover app simplifies and accelerates the process of scanning barcodes. With this app, users can effortlessly scan not only Digimarc Barcodes but also all popular retail barcodes for immediate information access both in-store and while on the move. Available for free on mobile platforms (iOS and Android), Digimarc Discover supports a range of codes including Digimarc Barcode, DWCODE™, QR Codes, and various traditional retail barcodes. Utilizing our Mobile SDK, this app bridges the gap between consumers and store associates by linking them to content created by brands. The scanning technology employed in Digimarc Discover, based on the Digimarc Mobile SDK, is renowned for its adaptability and effectiveness. Development kits optimized for Apple iOS, Google Android, and Microsoft Windows 10 enhance the efficiency of scanning the most frequently used retail barcodes. Additionally, the app offers a comprehensive camera view that allows for greater scanning flexibility and includes a small badge on each card to indicate the type of code scanned. Furthermore, users can conveniently access their past scans through the app's activity section, ensuring quick retrieval of previously scanned items. This feature enhances the overall user experience by allowing users to keep track of their scans seamlessly.
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GoCanvas
Streamline your operations and cut costs by replacing cumbersome paper forms with personalized mobile forms from GoCanvas. This cloud-based mobile solution empowers companies to transform outdated workflows and enhance productivity by automating tasks. With GoCanvas mobile applications, businesses and their field personnel can swiftly gather data through their mobile devices, seamlessly share this information, and efficiently transmit data back to the office, ensuring that operations continue to run smoothly. Additionally, GoCanvas provides organizations with valuable features like barcode scanning, image capture, mobile payment processing, GPS functionality, and electronic signatures, further enhancing efficiency and convenience. By adopting GoCanvas, companies can not only save time but also improve the accuracy and accessibility of their data collection processes.
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