Learn more about computer vision and AI with this short list of top-level computer vision and AI terminology. Don’t know what AI training is? An AI model? Image recognition? What is an edge device? Find out from these quick computer vision definitions.
Data collection is the first step in the process of generating a dataset for use in machine learning and computer vision training. Performing good data collection is essential to success: the quality of an AI model can only be as good as the quality of the dataset it’s trained on.
Image recognition is one of the most popular and recognizable applications of artificial intelligence, machine learning, and computer vision. And now, highly accurate, real-time image recognition is available for developers via image recognition APIs. Some platforms offer APIs that can help organizations add image and video analysis capabilities, but what’s needed is a easy-to-implement image recognition API that offers powerful computer vision services – like Chooch AI.
What is an AI model exactly, and how do you train AI models? Why are all AI models not created equally? Better training, using the right mix of algorithms and frameworks, and even setting the right business requirements, that’s how we achieve the highest performance when developing and deploying an AI model for computer vision.
Mask compliance detection remains a critical issue for organizations on many levels. First, health security is a concern for individuals, companies, and governments.
Emrah Gültekin is Co-Founder and CEO of Chooch AI and Hakan Gültekin is Co-Founder and CTO of Chooch AI.
In this 15 minute presentation, Emrah Gultekin, CEO of Chooch AI, presents how the Chooch AI platform ingests visual data, trains the AI, and exports AI models to the edge. This allows scalable inferencing on the edge on any number of devices from any number of cameras. A transcript of the presentation is provided below the video.
Chooch AI is creating AI models that can be deployed quickly into the field with clear benefits. Ensuring that workers wear mandated safety equipment can lower insurance costs, increase productivity and save lives. Watch this video that demonstrates how detects when safety equipment isn’t being worn.
Safety and security must be paramount for any business that wants to protect its employees, customers, and assets from potential issues and malicious actors. Yet with more cameras and sensors than ever before, how can organizations lower their risk by quickly and efficiently analyzing the flood of images and videos at their fingertips?