As a rapidly developing branch of artificial intelligence, machine vision, which is rising in recent years, is being widely and deeply applied in industrial manufacturing, automotive, monitoring and other industries.
Machine vision, which integrates AI deep learning algorithms, can make faster and more accurate judgments instead of the human eye in various complex scenarios such as detection, measurement, positioning, and recognition, and has a high degree of autonomy, and can intelligently make analysis and make autonomous decisions.
Zebra's comprehensive range of machine vision and imaging solutions is a good example of this.
At the 2023 Shanghai Machine Vision Exhibition, Zebra Technology unveiled its fixed industrial scanner (FIS), machine vision (MV) smart camera, frame grabber series and Zebra Aurora software platform, fully demonstrating the value and charm of machine vision.
Machine vision (MV) smart cameras
The depth of machine vision technology is inseparable from advanced deep learning algorithms, and deep learning algorithms are also an important weapon for Zebra technology to empower enterprises.
Gao Yunfeng, Head of Zebra's Machine Vision and Imaging Product Line in Greater China, said: "It is with the blessing of deep learning algorithms that machine vision can achieve higher recognition accuracy, faster recognition speed and instantaneous real-time response. Zebra Technologies has been committed to empowering customers with advanced deep learning algorithms. ”
The Zebra smart camera manipulator gripping solution with deep learning algorithms is a typical example in the field of industrial inspection. It automates quality inspection, reduces defects and verifies assembly and tracking information in a variety of separate manufacturing processes to improve productivity and quality levels.
Taking the appearance size inspection of products as an example, this high-precision smart camera system has the characteristics of non-contact, real-time, flexibility and accuracy, which can greatly improve the detection efficiency and detection effect, so that product defects can be hidden and can be found in the first time.
Fixed Industrial Scanners (FIS)
Paired with the machine vision (MV) smart camera is the Zebra Stationary Industrial Scanner (FIS).
Stationary industrial scanner models improve track and trace throughout the supply chain and decode every part and package in production, storage, and fulfillment.
FIS solutions also enable the reading of 1D and 2D barcodes, direct part identification (DPM) and optical character recognition (OCR) text, helping to increase productivity and automate the movement of goods, driving efficiency in warehousing, transportation and returns processes.
Frame grabber series
In machine vision applications, a stable, fast, and low-resource frame grabber is critical. Gao Yunfeng said: "Zebra Technologies can provide a series of advanced frame grabbers to the market through the acquisition of Matrox Imaging. They provide access to Camera Link standard cameras, reducing the load on the CPU and allowing images to be processed on the FPGA without host intervention. ”
Speaking of Camera Link, it is still widely used today as a machine vision standard. Zebra's Matrox Radient eV-CL frame grabber is based on this standard, providing a cost-effective option for imaging applications.
For GigE Vision applications, Zebra offers Concord PoE. This is a Gigabit Ethernet adapter (similar to a standard NIC) that supports up to 60W PoE with the option to add Ethernet trigger (ToE) and discrete digital I/O.
epilogue
Zebra also showcased its omni-channel fulfillment solution and a range of industrial-grade printers.
Gao concluded: "The application of machine vision and imaging technology solutions has become the key to enabling enterprises in manufacturing, warehousing, logistics and other fields to maintain a competitive advantage. With years of accumulation and development in the field of machine vision, Zebra will continue to provide enterprises with a wealth of products and solutions, reduce costs and increase efficiency, provide enterprises with constructive insights, and quickly make critical business decisions. ”