Zebra's Industry Solutions can give your business a competitive advantage by connecting people, assets and data to help you make better decisions.
Scale and energise your retail strategy with a digital backbone that unifies your team, informs priorities and drives results with Zebra's retail technology solutions.
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Zebra’s manufacturing technology solutions enable manufacturers to become more agile, optimise plant floor performance and embrace market changes.
Zebra's market-leading solutions and products improve customer satisfaction with a lower cost per interaction by keeping service representatives connected with colleagues, customers, management and the tools they use to satisfy customers across the supply chain.
In today's world, the demands on transportation and logistics companies are higher than ever. Dedicated Warehouse, Fleet and Delivery, and Yard and Terminal solutions enable visibility to every aspect of your business and keep operations running flawlessly around the clock.
Zebra's hospitality technology solutions equip your hotel and restaurant staff to deliver superior customer and guest service through inventory tracking and more.
Empower your field workers with purpose-driven mobile technology solutions to help them capture and share critical data in any environment.
Technology is a key enabler in helping the Public Sector provide their frontline and back office workers automate business process and assets with a digital voice.
Zebra’s mobile computing, scanning, and printing solutions connect each operational area in your warehouse to give you the agility to realize transformational gains.
Zebra's range of mobile computers equip your workforce with the devices they need from handhelds and tablets to wearables and vehicle-mounted computers.
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RFID development, demonstration and production software and utilities help you build and manage your RFID deployments more efficiently.
Zebra DNA is the industry’s broadest suite of enterprise software that delivers an ideal experience for all during the entire lifetime of every Zebra device.
Advance your digital transformation and execute your strategic plans with the help of the right location and tracking technology.
The Zebra Aurora suite of machine vision software enables users to solve their track-and-trace, vision inspection and industrial automation needs.
Zebra Aurora Focus brings a new level of simplicity to controlling enterprise-wide manufacturing and logistics automation solutions. With this powerful interface, it’s easy to set up, deploy and run Zebra’s Fixed Industrial Scanners and Machine Vision Smart Cameras, eliminating the need for different tools and reducing training and deployment time.
Aurora Imaging Library™, formerly Matrox Imaging Library, machine-vision software development kit (SDK) has a deep collection of tools for image capture, processing, analysis, annotation, display, and archiving. Code-level customization starts here.
Aurora Design Assistant™, formerly Matrox Design Assistant, integrated development environment (IDE) is a flowchart-based platform for building machine vision applications, with templates to speed up development and bring solutions online quicker.
Designed for experienced programmers proficient in vision applications, Aurora Vision Library provides the same sophisticated functionality as our Aurora Vision Studio software but presented in programming language.
Aurora Vision Studio, an image processing software for machine & computer vision engineers, allows quick creation, integration & monitoring of powerful OEM vision applications.
Adding innovative tech is critical to your success, but it can be complex and disruptive. Professional Services help you accelerate adoption, and maximise productivity without affecting your workflows, business processes and finances.
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What Is the Difference Between Machine Vision and Image Recognition?
Machine Vision Vs. Image Recognition - What's the Difference?
Machine vision and image recognition are two closely related technologies. However, there are some key differences between these two terms that are important to understand.
Machine vision is the broader term that refers to the use of cameras, sensors and software to allow machines to "see" and interpret visual data. This technology is used in a wide range of applications, from manufacturing and industrial automation to autonomous vehicles and robotics. Machine vision systems are designed to capture and analyze visual data in real-time, and they often use complex algorithms to identify patterns, track objects, and make decisions based on that data.
On the other hand, image recognition is a subset of machine vision that specifically refers to the ability of machines to identify objects and patterns within digital images. Image recognition systems use advanced algorithms to analyze the visual features of an image, such as shape, texture, and color, to identify and label specific objects within the image. This technology is used in a variety of applications, from facial recognition and security systems to medical imaging.
What Is the Difference Between Machine Vision and Image Recognition in Manufacturing?
Machine vision and image recognition are both used in manufacturing to automate processes and improve quality control. Although there is an overlap between the two, they differ in their application and purpose.
Machine vision is used in manufacturing to automate inspection, robot guidance and quality control processes. This technology uses cameras, software and sensors to capture images of products or pieces as they move along a production line or through a manufacturing process. The images are then analyzed by machine vision algorithms to guide the robot in assembly tasks, detect defects, measure dimensions, and perform other quality-control checks. Machine vision systems can quickly and accurately inspect large volumes of products, reducing the need for human intervention and improving overall efficiency.
On the other hand, image recognition is used in manufacturing to identify specific objects or features within an image. It performs more specific tasks, such as identifying the presence or absence of certain pieces, detecting specific features, such as labels or barcodes, or tracking products as they move through the production process. Image recognition technology can also be used to identify objects in real-time, such as robots navigating through a warehouse or assembly line.
What Is the Difference Between Machine Vision and Image Recognition in Warehouses?
In a warehouse environment, machine vision and image recognition are both used to automate processes and improve efficiency, though they differ in their applications.
Machine vision applications are designed to automate processes such as inventory management, robot guidance and package location tracking. By using cameras, sensors and software to capture and analyze visual data, machine vision systems can quickly and accurately identify pallets, cases or individual items, and then apply software algorithms to determine their location, orientation, size and shape. In this context, machine vision technology can be used for updating inventory databases, guiding bin-picking or palletizing robots or optimizing warehouse logistics.
On the other hand, image recognition applications in warehouses are focused on identifying and tracking objects or patterns in real-time. This technology is used to enhance the speed and accuracy of operations such as order picking, stock replenishment and quality control. With image recognition, you can quickly identify and locate products more easily, track shipments, improve throughput speed and detect defects or anomalies more effectively.
Machine vision technology helps to automate repetitive tasks, reduce errors, and improve overall quality control. This technology is especially useful for businesses that deal with high volumes of products or complex supply chains, as it reduces the risk of errors and improves overall efficiency.
What Is the Difference Between Machine Vision and Image Recognition in the Food Industry?
Machine vision and image recognition are two technologies used in the food industry to help with quality control, safety and efficiency.
Using cameras, sensors and software to capture and analyze visual data, machine vision technology helps with tasks like detecting defects, measuring dimensions, or guiding robots in picking or sorting applications. Image recognition is a bit different, as it focuses on identifying and tracking specific objects or patterns in real-time, which helps with tasks like sorting or tracking inventory, or quality control purposes in a warehouse.
The main difference between machine vision and image recognition in the food industry is what they are used for. Machine vision is most commonly used for inspection, measurement, and guidance tasks, while image recognition is typically used for identification, sorting, and quality control purposes within a warehouse. Both are useful in the food industry because they can help with improving product quality, increasing efficiency, enhancing safety, and optimizing inventory management. By using these technologies, food manufacturers can ensure that their products are safe and of high quality, while also making their operations run more smoothly.
What Are the Benefits of Machine Vision?
Zebra Technologies is a leading provider of machine vision solutions for a wide range of industries, from manufacturing and logistics to healthcare and retail. Here are just a few reasons how Zebra’s machine vision technology can be leveraged for your business:
- Advanced technology: Zebra's machine vision technology is powered by some of the most advanced computer vision algorithms and machine learning models available. This allows Zebra's systems to analyze visual data quickly and accurately, making them ideal for applications where speed and precision are critical.
- Scalable and versatile: Zebra offers the widest ecosystem of machine vision solutions that can be customized to meet the specific needs of your business. Whether you need to track inventory in a warehouse or identify defects in manufacturing processes, Zebra lets you scale up and across portfolios without having to change providers.
- Ease of use: Zebra's machine vision technology is designed to be intuitive and streamlined, even for less-technical personnel. This means that you can deploy Zebra's systems quickly and efficiently, backed by dedicated support, service and on-demand training to help you achieve your objectives.
- Integration: Zebra's machine vision solutions can be seamlessly integrated with your existing hardware and software systems, making it easy to incorporate this technology into your existing workflows and future-proof investments for the long term.
- Support: Zebra offers comprehensive support and online training for its machine vision solutions, ensuring that your systems are always up-to-date and running smoothly.
Whether you're looking to improve quality control in your manufacturing processes or increase efficiency in your logistics operations, Zebra Technologies has the advanced machine vision solutions you need to succeed. With advanced technology, versatility, ease of use and integration, and comprehensive support services, Zebra provides solutions for businesses looking to leverage the power of machine vision.
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