NI PCI-1407 high-performance image acquisition card

NI PCI-1407 high-performance image acquisition card

Functional characteristics
High-resolution acquisition Supports multiple standard analog video formats, including RS-170 /NTSC and CCIR/PAL, and is capable of capturing high-resolution images, with a maximum resolution of 768×576 pixels (PAL system) or 640×480 pixels (NTSC system), meeting the requirements for image details in most industrial and scientific research applications.
Real-time acquisition and transmission: It has the ability to collect and transmit image data in real time. The collected images can be directly stored in the on-board cache and quickly transferred to the computer memory through the PCI bus, ensuring the real-time and continuous nature of the image data. It is suitable for image acquisition in dynamic scenes.
Flexible triggering modes: It offers multiple triggering methods, including software triggering, external signal triggering, and field synchronization or frame synchronization triggering of video signals, etc. Users can precisely control the timing of image acquisition based on their actual application requirements to ensure the acquisition of key image information.
Image preprocessing function: The board is equipped with some basic image preprocessing functions, such as color correction, contrast adjustment, edge enhancement, etc. These functions can process the images in real time during the acquisition process, improve the image quality and reduce the burden of subsequent computer processing.
Supports multiple camera types: It can be used in conjunction with various analog cameras, including black-and-white and color cameras, and is compatible with many mainstream camera brands on the market, providing users with a wide range of choices.

Application field
Industrial visual inspection: On industrial production lines, it is used for tasks such as product appearance inspection, size measurement, and defect identification. By collecting the images of the products and analyzing them using image processing algorithms, automated quality control and inspection can be achieved, thereby enhancing production efficiency and product quality.
Machine vision system: As an important component of the machine vision system, it provides visual information for robots, automated equipment, etc. Help them perform operations such as target positioning, path planning, and posture recognition to achieve intelligent production and operation processes.
Medical imaging: In the medical field, it can be used for image acquisition in some analog video imaging devices, such as endoscopes and microscopes. The collected images are digitized for doctors to observe, diagnose and analyze.
Scientific research and education: In scientific research experiments and teaching, it is applicable to various scenarios that require image acquisition and analysis, such as optical phenomenon observation in physics experiments and cell imaging in biological experiments. It provides a convenient image acquisition and processing platform for scientific researchers and students, which is conducive to the development of scientific research and teaching practice.