OpenCV
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, and stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery, etc.
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Unleash live
Unleash live is an A.I. video analytics enterprise solution provider. We take a vision from any camera and combine it with computer vision to deliver actionable data in real-time so that your organization has immediate insights to drive down costs, improve productivity, increase accuracy, and improve safety. Support for a wide range of cameras. Connect any combination of IP/CCTV, drone, body cam, mobile or robotic cameras. Live stream in the field and share it with your team while operations are in progress, or upload footage into your account. Apply A. I Apps from our app store to detect, inspect and monitor objects and items of interest or create 2D orthomaps and 3D models. Integrate results into your operational workflow, from live dashboards, to notifications and API integrations. Take the complexity and time out of collaboration. Instantly connect any mix of cameras to share over a live stream with stakeholders and 3rd parties. No plugs-in, no downloads, all in the browser.
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SimpleCV
SimpleCV is an open-source framework for building computer vision applications. With it, you get access to several high-powered computer vision libraries such as OpenCV, without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy. These are just a small number of things you can do with SimpleCV. If you would like to learn more please refer to our tutorial. There are also many examples included in the SimpleCV directory under the examples folder which can also be downloaded from here. SimpleCV is an open-source framework, meaning that it is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and IP cameras, or mobile phones. It helps you build software to make your various technologies not only see the world but understand it too.
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alwaysAI
alwaysAI provides developers with a simple and flexible way to build, train, and deploy computer vision applications to a wide variety of IoT devices. Select from a catalog of deep learning models or upload your own. Use our flexible and customizable APIs to quickly enable core computer vision services. Quickly prototype, test and iterate with a variety of camera-enabled ARM-32, ARM-64 and x86 devices. Identify objects in an image by name or classification. Identify and count objects appearing in a real-time video feed. Follow the same object across a series of frames. Find faces or full bodies in a scene to count or track. Locate and define borders around separate objects. Separate key objects in an image from background visuals. Determine human body poses, fall detection, emotions. Use our model training toolkit to train an object detection model to identify virtually any object. Create a model tailored to your specific use-case.
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