In fast-moving industries, real-time information is no longer optional, it’s essential.
Scandit, a Swiss tech company founded in 2009, develops smart data capture technologies that use computer vision and augmented reality. The tools are designed to read barcodes, text, and IDs with high accuracy.
How does the technology work?
Scandit applies computer vision and machine learning to enable devices such as smartphones, tablets, wearables, drones, and robots to function as scanning tools. Their platform is designed to capture barcodes, recognize text, and scan identity documents under a range of conditions, including low lighting, damaged labels, and steep angles.
Augmented reality at play
Scandit’s MatrixScanFind for example, is an augmented reality–based data capture tool that enables real-time item identification using a device’s camera. The system scans multiple objects within the camera’s field of view, detects barcodes, and overlays visual markers to indicate items that match a specified query.
The technology combines computer vision with barcode recognition to support rapid search and identification tasks, particularly in environments where items are visually similar or densely arranged.
The platform also incorporates optical character recognition (OCR) for printed text and ID scanning for passports and driver’s licenses, with all processing done securely on-device to ensure data privacy.
Key milestones in Scandit’s expansion
Since its founding, Scandit has marked several major developments backed by strong investor support. It raised $7.5 million in Series A funding in 2016 with Atomico, followed by $30 million in Series B in 2018 led by GV. In 2020, a Series C round of $80 million led by G2VP helped triple recurring revenue and expand its global customer base.
In 2022, Scandit secured $150 million in Series D funding led by Warburg Pincus, pushing its valuation past $1 billion and bringing total funding to nearly $300 million. Most recently, in 2024, the company acquired MarketLab, a Polish image recognition and AI firm, to strengthen its retail solutions with advanced shelf audit automation.
Scandit’s partnerships and applications
Scandit’s software is used across sectors including retail, logistics, healthcare, and manufacturing. Retailers such as Walmart use its software for in-store inventory management and point-of-sale functions, while logistics providers use similar systems for parcel tracking and delivery operations. In healthcare settings, applications include medication tracking and patient identification.
The platform is also integrated into enterprise software such as SAP, allowing organizations to incorporate data capture into existing workflows. Scandit collaborates with device manufacturers including Apple and Samsung to support performance optimization on mobile hardware. On iOS devices, Scandit enables advanced barcode scanning, augmented reality, and real-time data capture across devices used in enterprise workflows. With Samsung, it integrates into rugged enterprise smartphones such as the Galaxy XCover series, allowing frontline teams to replace dedicated scanners with versatile, multi-purpose devices.
Scandit: Patenting Activity
The most significant increase in Scandit’s patent activity occurred in 2020, coinciding with its U.S. $80 million Series C funding round. This influx of capital likely enabled expanded R&D and stronger intellectual property protection.
Patents published during this period focus on enhancements to the MatrixScan platform, originally introduced in 2017 for multi-barcode scanning and augmented reality tracking. These developments later enabled specialized solutions such as MatrixScan Count (October 2022) and MatrixScan Find (June 2023), supporting automated counting and AR-guided item search workflows. The surge in filings also aligned with the COVID-19 pandemic, which accelerated demand for contactless, mobile, and self-service data capture, underscoring the strategic value of Scandit’s technology.
Scandit: Top Jurisdictions
Scandit’s patent portfolio is heavily concentrated in the United States, reflecting a strong market for enterprise mobility, retail, logistics, and supply chain technologies. Moreover, the U.S. is also a venue for software and computer vision patent enforcement, further reinforcing its strategic value. Additionally, a report by Unified Patents in 2024 shows that the majority of patent litigation cases in the US are in the tech industry, which includes software, hardware, and networking patents. We also see smaller presence in Canada, Japan, and Europe.
Scandit: Top Technology Areas
Most of Scandit’s patents are concentrated in areas related to graphical data reading (G06K), image or video recognition (G06V), and image data processing or generation (G06T). This highlights a clear focus on computer vision technologies that enable devices to capture and interpret visual data quickly and accurately, which is essential for applications such as barcode scanning and real time object recognition.
A smaller but still meaningful share of patents relates to pictorial communication (H04N), indicating work on how visual information is transmitted and presented. The remaining patents span optical systems (G02B), photographic apparatus (G03B), and administrative or operational information technologies (G06Q), suggesting supporting innovations that enhance data capture capabilities and integrate these solutions into broader business and enterprise contexts.
Patents powering Scandit’s technology
Scandit’s innovations are supported by a growing portfolio of patents that protect its core technologies and enable the development of advanced data-capture solutions. The following section highlights the key patents behind Scandit’s platform and specialized offerings.
Identity verification through barcode structure analysis
U.S. Patent No. 11,557,136 introduces a method for authenticating identity documents by analyzing the structural characteristics of barcodes, enabling detection of fraudulent or altered IDs beyond simple data decoding.
Traditional barcode scanning systems primarily focus on decoding the data contained within a barcode and do not assess whether the barcode format itself is valid. As a result, manipulated or counterfeit identity documents may still produce seemingly valid decoded outputs, limiting the reliability of standard scanning approaches.
The system addresses this limitation by extracting structural features from multiple barcodes on a document, classifying them into clusters representing known valid formats, and comparing the structure of a scanned document’s barcode against these clusters. By incorporating structural validation in addition to data decoding, the method improves authentication accuracy and enables secure identity verification using mobile devices without requiring specialized hardware.
The patent, titled “Identity document verification based on barcode structure” was filed on March 31, 2022, and published on January 17, 2023. The inventors listed are Moritz Zimmermann, Oliver Akermann, and Christian Kündig.
Vision-based item detection and catalog generation
U.S. Patent No. 12,374,078 describes a computer vision-based method for automatically identifying and cataloging items from images, enabling efficient mapping of products within physical environments without relying solely on barcode decoding.
Conventional approaches to building product catalogs or mapping shelf layouts typically rely on manual barcode scanning or data entry, which can be time-consuming and labor-intensive. These methods also require line-by-line interaction with each item, limiting scalability in large retail or warehouse environments.
The invention addresses these challenges by detecting label regions within captured images, extracting visual and textual features, and associating them with catalog entries to generate a structured representation of items in a scene. This approach allows camera-equipped devices or robotic systems to automatically map shelves and track inventory, reducing manual effort and enabling scalable, image-based cataloging and spatial analysis.
The patent, titled “Building a catalog based on optical recognition of patterns in images” was filed on January 4, 2024 and published on July 29, 2025. The inventors listed are Bernd Schoner, Thibault Priquel, Oliver Akermann, and Luc Humair.
Adaptive camera activation for barcode detection
U.S. Patent No. 12,175,327 provides a method for optimizing camera operation in mobile devices to enable responsive barcode scanning while minimizing power consumption.
In conventional scanning applications, continuous camera operation is often required to maintain readiness for detecting barcodes or optical patterns. However, this approach can significantly increase power consumption and negatively impact the performance and battery life of smartphones and wearable devices.
The invention addresses this issue by dynamically managing camera operating states, allowing the device to remain in a low-power mode between scanning events and rapidly reactivate the camera when a scan is initiated. This approach reduces energy consumption while maintaining low latency, enabling efficient and responsive scanning in mobile and wearable environments.
The patent, titled “Camera start optimization for optical pattern decoding” was filed on January 26, 2024, and published on December 24, 2024. The inventors are Marco Biasini, Daniel Scherly, Julien SilvaIciar Martinez, Raffaele Farinaro, and Nurie Jeong.
All featured patents were represented by Kilpatrick Townsend & Stockton LLP.
Scandit: Top Law Firms
Scandit’s patent portfolio reflects collaboration with several prominent international law firms. The majority of filings were managed by U.S. based firms, led by Kilpatrick Townsend & Stockton. Other notable U.S. firms include Wolf, Greenfield & Sacks, and Rankin, Hill & Clark.
Other firms contributing to Scandit’s filings include European patent firms such as Hoffman Eitle and Diehl & Partner, and the Australian firm FB Rice Pty. This mix of U.S., European, and Asia-Pacific representatives indicates Scandit’s intent to maintain global coverage through regionally specialized counsel.