5 Applications Growing the Field of Computer Vision

1. 5 Applications Growing The Field Of Computer Vision Email ID-info@clarifai.com

2. About Clarifai • Clarifai is accelerating the progress of humanity with continually improving AI. • Founded in 2013 by Matthew Zeiler, a foremost expert in machine learning, Clarifai has been a market leader since winning the top five places in image classification at the ImageNet 2013 competition. • Recognized by leading industry analysts for our award-winning platform, Clarifai offers an end-to-end solution for modeling unstructured data for the entire AI lifecycle. Our powerful image, video, and text recognition solutions are built on the most advanced machine learning platform and made easily accessible via API, device SDK, and on-premise, empowering businesses all over the world to build a new generation of intelligent applications. https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

3. Peoples’ dream of creating machines that could think and replicate humans has been an ongoing process for many years is taking shape now. What if there was a technology that could “see” and “decipher” things around it as a human would. Amazing—Isn’t it? This is something that computer vision technology does—it duplicates human vision. In today’s Artificial Intelligence (AI) world, computer vision is a trending subject because of its growing proliferation in various industries and our daily life. We now have self-driving cars, augmented reality, facial detection applications and the list goes on. Computer vision technology is an integral part of all these applications and is playing a major role in digital transformation. Its potential is huge; the global market for computer vision has steadily been growing from $6.6 billion in 2016 and is expected to reach $48.6 billion by 2022.  But what exactly does computer vision mean, how does computer vision work and how is this technology used in various applications? These are some pertinent questions that we’ll discuss as we go along.  https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

4. About Computer Vision Computer vision (CV) is a field of computer science that focuses on creating digital models to process, analyze and understand the image and video data. A sub-branch of AI, CV works with training computer systems to understand the visual world. Computers don’t have the subjective “experience” of vision the way that people do, but computers can explore and extract meaningful information from images, and this information can be used to drive actions and automate systems. https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

5. How Does Computer Vision Work? Computer vision works based on pattern recognition. A computer vision model is fed images, called inputs, and returns a word as their output, a descriptive keyword. Suppose you need to identify dogs in a large amount images. It would be impossible to go through every image yourself to find all of the dogs. Computer vision helps in this process. To do this, the system has to be fed hundreds, thousands or even millions, depending on your desired output, of related images of dogs. Then the system processes these images, identifies patterns that identify the image as dogs, and finally learns what a dog looks like and can discern which images have dogs in them. Whenever an image of a dog is sent to the system, it’ll be able to recognize the image based on being trained what a dog looks like.   https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

6. Applications of Computer Vision Technology Self Driving Cars Car companies, like Tesla, are using computer vision software in their self-driving cars. Computer vision technology allows cars to get a sense of their surroundings with the help of cameras. These cameras capture videos of the surroundings and send the data back to the computer vision software. The software then analyzes the video and identifies objects like traffic signals, other cars, pedestrians, etc., and the system is trained to understand what is safe and what to avoid. Based on this data,r the car is able to safely drive passengers to their destinations. https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

7. Facial Recognition Facial recognition technology is used to identify the faces of individuals to establish their identities by cross-checking with images saved in a database. The technology uses its algorithms to identify the facial features in the images and compare them with existing images. There has been much controversy over the use of facial recognition software and privacy, but there are beneficial applications for it. The best use of facial recognition technology can be found in smartphones. Remember, when you try to unlock your phone, your face is identified by the software first in order to gain access..    Healthcare The use of computer vision applications in the healthcare domain is growing steadily. Computer vision models can be trained with images to understand the trends and find out anomalies in those images that are fed to them. Not only is it being used for diagnostic applications to help doctors make better-informed decisions, but also it’s being used in medical imaging, cancer screening, and more. One of the best examples of using this technology in healthcare is medical image analysis. Computer vision technology can be used in detecting tumors and other illnesses by examining radiological scans to find anomalies that a human eye may miss.  https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

8. Agriculture Computer vision technology has tremendous potential in the agricultural sector. It’s helping to improve operational efficiency and accelerate the increase in agricultural productivity in a more accurate manner. Computer vision techniques using semantic segmentation and image annotations are approaches for detecting and identifying a particular object in images or videos. Computer vision-enabled cameras can be trained to detect unfavorable conditions, crop health information, land boundaries, and more. The early detection of pest infestations by this technology helps farmers to take necessary action to protect their crops in turn saving them from financial loss while improving the quality of their yield. Homeland Security Computer vision is providing “ubiquitous vision” with network and cooperative arrays of cameras. The objective is to apply computer vision techniques and algorithms under various environmental conditions for security, surveillance, and protection of physical infrastructures under human and vehicular threats. Using computer vision and AI automation, video footage can be reviewed faster and more accurately than a human could do. From inspecting cargos at ports to monitoring crowds, this technology processes images organizes them and provides insights in order to make better-informed decisions faster. Defense Intelligence services have to analyze huge amounts of information collected by drones and surveillance cameras. To hasten the process of analyzing manually, computer vision technology filters the most relevant data and pre-process it from the pile. https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

9. Conclusion Computer vision adoption is growing steadily. Be it video-detection systems in road transportation, self-driving cars, 3D printing in manufacturing, facial recognition, healthcare, and advanced sensors in defense and logistics, computer vision technology is being used extensively. In the present world, computer vision technology can bring immense financial gains in business. However, this is just the tip of the iceberg. This technology has immense potential in the future.  Check out Clarifai, the leading deep learning platform for computer vision, natural language processing, and automatic speech recognition. https://www.digitalconnectmag.com/5-applications-growing-the-field-of-computer-vision/

10. Email ID-info@clarifai.comWebsite URL-https://www.clarifai.com/Facebook Id- https://www.facebook.com/Clarifai Thankyou! Thank You