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, OpenLayers seems to be more popular. It has been mentiond 28 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.
You probably know this, but in Google Maps at least, you can use browser zoom (ctrl/cmd +/-) to change the size of labels without zooming into the actual map. ------ Speaking of maps, I got to work a fun zoom project a few years ago: https://map.fieldmuseum.org/ We used https://openlayers.org/ and thought long and hard about how to best handle zooming and variable levels of information density & visual hierarchy.... - Source: Hacker News / about 2 months ago
In order to display the GeoJSON features on a map, we will use OpenLayers, which is a very powerful open-source mapping library that is also very simple to use. - Source: dev.to / 3 months ago
OpenLayers is a modular, high-performance library designed for displaying and interacting with maps and geospatial data. It is a free, open-source JS library released under the 2-Clause BSD License, facilitating the creation of interactive and feature-rich web maps. - Source: dev.to / 4 months ago
For web maps I'd strongly recommend using OpenLayers. While it's less convenient to get started with compared to the alternatives it's also much more feature-complete and you'll likely hit a ceiling in terms of functionality much later than you would with the others. Source: about 1 year ago
Tought this was about https://openlayers.org/, got confused for a moment. - Source: Hacker News / about 1 year ago
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