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, ThingSpeak seems to be more popular. It has been mentiond 9 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.
First of all, you need to ask yourself how familiar you are with MatLab. Then from a dev point of view, could you use an API to reference cloud data then apply analytics. Great intro to IoT. I can see that company going far in 5-10 and may invest based on trajectory. Https://thingspeak.com. Source: 8 months ago
You can use solutions like thingspeak https://thingspeak.com/. Source: about 1 year ago
I'm not sure yet. Maybe something custom, but probably not. I was thinking about Thingspeak before. Source: about 1 year ago
I haven't got around to MQTT yet, but as an easy interim solution I recommend ThingSpeak https://thingspeak.com/ as you can set up an account for free and getting an ESP to send data to it is trivial. Plus you can access it via the web, or embed their graphs and dials into a webpage. The graphics are a bit meh though. Source: about 1 year ago
ThingSpeak for IoT Projects Data collection in the cloud with advanced data analysis using MATLAB Https://thingspeak.com/. Source: over 1 year ago
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