Chooch's Generative AI-powered computer vision technology enables businesses to leverage their existing camera and image data for real-time insights, empowering more proactive decision-making. It streamlines manual visual review tasks, enhancing operational efficiency, optimizing human resource allocation, and ultimately reducing costs.
Chooch AI Vision technology identifies patterns, objects, and actions within video data and images, promptly recognizing their significance and triggering alerts to initiate further action. Using existing cameras and edge infrastructure, Chooch facilitates the deployment of AI models to analyze vast amounts of data within video streams, accomplishing pre-determined detections in a fraction of the time required by human operators.
The platform offers a comprehensive suite of services covering the entire machine learning AI workflow, including data augmentation tools, model training and hosting, edge device deployment, real-time inferencing, and intelligent analytics.
Chooch empowers organizations to rapidly deploy AI Vision across their camera infrastructure using pre-trained models tailored to various use cases, addressing a wide array of business challenges such as workplace safety, retail loss prevention, people counting, inventory management, wildfire detection, and more. With Chooch's AI-powered computer vision solutions, businesses can efficiently manage visual data at scale, detecting, understanding, and responding instantly to critical events.
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Chooch’s AI Vision technology combines computer vision and language understanding to deliver generative AI for image-to-text.
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Chooch was founded by Turkish-American brothers, business focused, Emrah, and technology driven, Hakan Gültekin. Emrah, a serial entrepreneur, had spent 20 years building startups and businesses from an engineering consultancy, to real estate development, to commercial and social investment consulting. He saw the world was rapidly changing and not exactly in the right direction. Despite technological advancements, there continued to be a lack of efficiency, foresight, and transparency to help companies make the right decisions, and he had a strong desire to contribute to the next wave of technological innovation to solve this. Chooch was founded at the intersection of the evolution of society and the advancement of artificial intelligence.
Based on our record, OpenCV seems to be more popular. It has been mentiond 50 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 11 months ago
Visionify.ai - Specialized Computer Vision solutions provider
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Clarifai - The World's AI
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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NumPy - NumPy is the fundamental package for scientific computing with Python