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CameraLink is a high-speed, real-time data transmission standard designed for low latency and high bandwidth scenarios. It is ideal for applications requiring quick transmission of high-resolution images from both line-scan and area-scan cameras. The CameraLink interface standardizes camera-to-frame grabber connections, offering structured data transfer, camera timing, and real-time signaling capabilities. YantraVision's CameraLink IP integrates seamlessly with Xilinx devices, supporting MMCM and PLL modes and is fully compatible with Vivado IPI, providing a robust solution for high-demand vision systems.
This IP module brings TensorFlow Lite inference capabilities to FPGA platforms, particularly designed for implementing neural network models like OCR. This flexible solution supports high-speed recognition tasks in embedded systems. By offering a prebuilt overlay, the IP handles the complexities of neural network operations, allowing users to leverage sophisticated AI models in resource-constrained environments.
Binarization and Quantization are critical processes in image processing pipelines, especially when handling large volumes of data. This IP module reduces bandwidth requirements by converting images to binary form and quantizing them to fewer bits, making it feasible to process high data loads efficiently. By optimizing data for further processing, this module supports high-speed, real-time applications, ensuring system resources are utilized effectively.
YantraVision's Object Detection IP delivers a pipeline for recognizing and analyzing various features of objects, including shape, size, and color. This module, which integrates multiple image processing IPs, serves as a comprehensive solution for applications requiring complex object recognition capabilities, such as automated inspection systems. It enables the detection and classification of objects against predefined templates, enhancing the accuracy and speed of automated processes.
Contour Tracing is a specialized IP for segmenting images to identify boundaries within a given region. It works by processing binarized images to detect contiguous area contours. This technique is fundamental in applications requiring precise boundary recognition, such as optical character recognition (OCR) and object detection, ensuring that objects are distinctly and accurately outlined for further analysis.
YantraVision's Color Space Convertor IP facilitates seamless conversion between various color spaces such as RGB, HSV, and YUV. This is essential in image processing applications where precise color representation and manipulation are critical. The ability to convert images to the required format ensures that subsequent processing stages receive data in optimal form, enhancing overall system efficiency and effectiveness in color-critical tasks.
The Falcon Camera integrates FPGA technology to provide a comprehensive solution for high-speed image capturing and processing. Designed for industrial applications, it significantly reduces the complexity and cost associated with deploying machine vision solutions. The camera supports Ethernet communication, external trigger inputs, and operates on a Linux OS. It includes standard vision algorithm IP blocks, enhancing its suitability for agriculture, textile, pharmaceutical, and printing industries.
Falcon Compute is a powerful system designed for high-speed image processing tasks. Utilizing Xilinx's Zynq SoC, it functions as a Framegrabber+ suitable for demanding real-time applications. Notable for its use in industries such as agriculture, textiles, and pharmaceuticals, it supports a 4K/30 KHz line rate and operates efficiently over various camera link interfaces. Its image processing capabilities, enhanced by proprietary FPGA overlays, position it as a key component in systems requiring rapid image acquisition and processing.
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