In this article, we will cover the definition of facial landmark detection, types of landmark detection algorithms, and 7 common use cases for facial landmark detection.

In this blog post, we will look at background removal software. We will also get an idea of why and how background removal can be used for different subjects.

This article covers the definition of a smart city and use cases of AI in smart cities, such as optimizing energy, improving transport, and safety in smart cities with AI.

In this article, we will discuss What Computer Vision is used for, how it can be useful in the sports industry, and its four applications in 2022.

In this article, will take a look at some of the most common and widely used real-world applications of computer vision in the retail industry.

This article will present an overview of state of the art, fresh ideas for computer vision projects, and real-world examples of the use of computer vision technology in the manufacturing industry.

This article explains machine learning use cases for climate change and discusses whether it is possible to use ML technology as a solution to fight climate change.

In this article, we will examine the surveillance functions of human detection applications.

In this article, we are going through the seven applications of artificial intelligence in business.

In this article, we will explain what No-Code AI is and its benefits to businesses.

In this article, we will go through computer vision solutions and enterprise AI applications in six industries.

This article explains the definition of an artificial neural network, how ANN and deep learning work, and real-life business applications of neural networks.

In this article, we will go through what machine learning is used for in business in 2022, and how it's beneficial to the organizations.

In this article, we will discuss how edge detection is a visual processing technique. Then we will examine the usage areas and applications of edge detection.

In this article, we will take a detailed look at facial recognition technologies. We will learn about a wide range of different uses of the technology and how to use it.

This blog explains Artificial Intelligence of Things (AIoT) Trends, an overview of the applications of AIoT in 2022, and the benefits of combining AI with IoT.

This post will go over the definition of biometric facial recognition, its use cases and benefits, and discuss whether biometric face recognition is safe or not.

This blog will go over the integration of AI and computer vision technologies for person detection and other use cases and the future of person detection.

In this article, we will look at the benefits of age & gender detection for our business. How can we use it, and what is the best way the start using it?

In this article, we examined what face recognition is, how it works, the top use cases of face recognition, and the challenges of facial recognition.

In this article, we will discuss how factories can use face recognition in access control systems and its challenges.

In this article, we will explain how to quickly blur faces in photos with Cameralyze.

Testing of the PCBs in design and manufacturing is crucial for quality control. Companies want to avoid realizing the product is faulty when it is already in the production or in the market. There is always chance for defects even after following the proper design and production processes.

Quality control has been a major component of manufacturing since the assembly line system was introduced by Henry Ford. The main idea behind forming an assembly line was that quality can still be achieved if everyone on the assembly line did their part.

Today, continuous innovation of devices has created a segment called smart appliances. A product of such digital transformation is yet another appliance - the SMART CCTV. Physical store optimisation is often a pain point for grocery store owners. Hence, a compelling need for a product that provides more value than home security apps or AI platforms.

In this article, we will examine in detail what Image Annotation is, its types, real-life use cases and challenges of Image Annotation.

This article is about the best background removal tools you can find online. In the article, you will find a list of the best online background removal tools.

In this article, we will go through the use applications of background removal at images. We will answer the question that can we benefit from getting rid of backgrounds on images.

In this blog article, we will focus on real-time video processing with deep learning and examine where it is used.

In this article, we will talk about what is the role of computer vision in transportation and what are the applications of computer vision in the transportation sector.

In this article we are going to examine the artificial intelligence competition around the World.

In this article we examine the robotics technology that is fed from artificial intelligence. We will go through how advanced artificial intelligence based robots are and how we are going to benefit from it in the future. 

In this blog article, we will look at how incorporating AI might change not just the trajectory of digital art and art history but also our outlook on the future of the arts as a whole.

In this blog article, we will explain the definition of image data augmentation, the benefits of using augmented data in computer vision, and give you different image data augmentation techniques for computer vision.

In this article, we will go through the history of Robotic Process Automation (RPA), its definition, and its benefits.

This article provides the definition of data annotation, types of data annotations, the benefits of using AI for data annotation, and discusses automatic and manual data annotation.

In this blog post, we will look at computer vision technologies. We will also learn about the ten most successful computer vision start-ups worldwide.

In this blog post, you will have an idea about the contributions of artificial intelligence technologies to the field of health. You will have an idea about which technologies are actively used and the clinical areas where medicine uses AI technologies.

In this article, we will go through the types of artificial intelligence. We will learn about the 4 different levels of those systems and see what Cameralyze solutions can offer.

In this article, we will examine the top 5 computer vision platforms and their advantages and disadvantages.

In this article, we will take a journey into the magical world of machines. We will see how machines can learn.

In this article, we take a look at the possibilities that artificial intelligence offers in the field of education.

This blog article explains the definition of image annotation, how it works, the types of image annotation, and we recommend a business image annotation solution.

In this article, we will take a journey into the future of the automotive industry. We will see the place of artificial intelligence technologies in the sector.

In this article, we will see what AI technologies are changing in banking and take a look at the future of banking.

In this blog post, we will examine cognitive automation, its importance for enterprises, and its differences from traditional automation tools.

In this article, we pick some of the most important AI trends in 2022 for you.

This article will summarize interesting facts about machine learning that will help you understand why it is becoming popular.

In this article, we will talk about what edge AI is, why we need Edge ai and the applications of Edge ai.

In this article, we will look at how computer vision technologies and how these technologies are being used in space exploration.

In this article, we will discuss whether Computer Science can be used for a sustainable environment, its contribution to sustainability, and the potential of computer science to make the world a better place.

In this blog, we will focus on human detection technology. A look at how to use the technology and what solutions are available to you.

In this article we will explain what computer vision is and how defect detection can be made with computer vision. What are the benefits of defect detection and how much cost that it reduces for your businesses.

In this article, we will go through the intelligence level of artificial intelligence technology. We will learn about the capabilities of those systems and see what can Cameralyze solutions offers.

In this article, we'll go through Zapier's functionality, what it can do for your workflow, and the reasons for our decision to integrate Zapier with the Cameralyze Platform.

In this article, you will learn about what unstructured data is. There are also some tips on how to use your data!

Understanding the fundamentals of TensorFlow is essential if you want to work in AI. In this article, we will explain what TensorFlow is and how TensorFlow works.

In this article, we will see the API architecture. We will learn about the API services that Cameralyze provides.

In this article, we will discuss what the relationship between Computer Vision and AI on Edge technology.

In this article, we will take a realistic look at whether artificial intelligence technologies can take our jobs.

In this article, we will discuss the value of deep learning to a company or organization and how it shapes the future of business.

In this article, we will talk about what is Training Data and Test Data, how Training Data and Test Data work, the differences between Training Data and Test Data, and some opportunities with the most up-to-date information for 2022.

In this article, we will take a look at how you can create a dataset for visual classification. We will talk about the things you should pay attention to when creating datasets and the tricks of creating datasets.

This article explains what intelligent automation is, how IA works, and how intelligent process automation is different from robotic process automation.

In this article, we will look at QR codes, the types of AI QR codes, and whether it is safe or not to use them.

This article provides the basics of natural language processing, its techniques and methods, NLP applications, use cases in 2022, and the importance of NLP.

In this article, we will talk about what is AI content moderation, why it is important, and AI content moderation's place in social media.

In this article, we will see what Edge Computing is. You will be introduced to the Internet of Things, big data and the future of data storage.

This article will discuss how AI and computer vision can help with the climate crisis and provide some AI and computer vision applications against global warming.

In this article, we will go through what object recognition technology is, the methods used during object recognition, the differences between the concepts, and how this technology works.

In this article, we will examine what artificial intelligence object detection is, the best object detection algorithms and libraries for software developers.

In this article, we'll cover what Optical Character Recognition (OCR) means, Scene Text Recognition, and the differences between OCR and STR. Furthermore, we will also examine how Optical Character Recognition (OCR) works.

In this article, we will get detailed information about computer vision and look at the development and usage areas of the technology.

In this article, we will go through the question of what the difference is between Machine Vision and Computer Vision. 

This article will discuss what a barcode reader is, what affects the reading quality, and the importance of ai in barcode reading.

In this article we will discuss why content moderation is essential to your business, the benefit of content moderation to your business.

In this article, we will discuss a barcode detection system and how it can work more effectively with AI.

This article will explain what content moderation is and the role of AI and machine learning in content moderation.

This post will go through the role of AI in content moderation, discuss the impact of AI in content moderation, and give you some content moderation services.

In this article, we have compiled the crucial challenges of object detection and solutions to these challenges for our readers interested in object detection.

In this article, we will talk about the object and people detection solutions, how they operate and how you can use them for your business.

This post will help you discover more about content moderation, including its pros & cons and more.

In this article, we will apply various hash algorithms to images. Well, what is this hash? I seem to hear you say, if I say Cryptology as a clue, maybe it can give you an idea. As you know, Cryptology is the science of cryptography.

In this article, we will discuss what FER is, how AI revolutionizes facial emotion recognition, FER applications, and how facial emotion recognition works.

In this article, we will discuss how you can use demographic analysis for your business and why developing your products and services is crucial.

In this blog, you will learn about the efficiency of Emotional Recognition via AI-powered programs.

Visual artificial intelligence and emotion identification systems are a system that analyzes people's gestures and facial expressions and makes emotional determinations.

In our previous article, we talked about object detection in detail. In this article, we will explain in detail the advantages and disadvantages of deep learning methods and describe the most famous object detection algorithms.

In this article, we will discuss what precision and recall are? how they are applied? and their impact on evaluating a machine learning model. But let's start to discuss the accuracy first.

This article will discuss why content moderation is essential to your business, what types of content moderation are, and finally, how you can quickly integrate it into your business.

In this article we will start our no code AI journey with the help of different platforms and get familiar with the concept of no code AI for business development.

In this blog, you will learn about the two main artificial intelligence topics, "Object Recognition" and "Image Recognition."

Object detection is one of the significant subfields of deep learning and computer vision. In this article, we will learn about all the fundamentals of object detection in this tutorial. Let's begin, then.

This article explains the meaning of image recognition and how image recognition differs from computer vision, object localization, and image detection.

In this article, we will discuss how image recognition technology benefits businesses and go through different applications from different sectors

In this article, we will go through what an AI Model for Object detection is and discuss the differences between the object detection models (Machine Learning vs. Deep Learning). But let's first start with the applications of object detection.

In this article, you will find five applications of computer vision using machine learning. But let's start to discuss the differences first.

In this article, we will talk about blurring operations on an image using Python and the openCv library.

This article takes a deep dive into image recognition with Python, training a custom model, and the difference between the image recognition API and Edge AI.

Inside this chapter, I’ll provide what is image classification, how it works, and what are the key concepts of image classification.

In this article, we made basic applications for image processing, one of the sub-branches of artificial intelligence, using the OpenCV library.

In this article, we will talk about facial recognition systems on the market and examine the solutions offered by different companies.

Have you ever wondered how to blur faces easily? Actually, there is more than one way to do this. However, performing a successful face blurring is essential in the simplest and fastest way. In this article, we will go through how to easily blur a face in an image or video and try to explain the quickest and most successful ways possible.

In this article, we will cover how to detect and blur faces automatically with all its detailed phase.

In this article, we will touch upon accurate face detection for high performance. 

In this article, we will briefly explain face blurring, and discuss automated human facial blurring for privacy.

In the rising era advanced technologies, understand what is facial recognition and how facial recognition works.

Biometric technologies are developing more and more day by day, penetrating many areas of our lives. Biometric technologies are systems that use biometric features to recognize people's identities. Facial recognition systems, a form of biometric system, distinguish people based on their facial traits. In this article, we will touch upon; Biometric Technology in Facial Recognition.

In this article, we will talk about gambling industry issues and how face recognition technology can be useful for online gambling and the casino industry.

Face Detection is the first and most important phase in the process of face recognition, and it is used to identify faces in photographs. It is a component of object detection and has applications in a variety of fields, including security, biometrics, law enforcement, entertainment, and personal safety, among others.

We'll go through the main three areas of face recognition in-depth in this article after explaining what face recognition is and how it works.

In this article, we will explain face blur for data privacy in deep learning and its importance.

In this article, we will talk about what machine learning is, its place in our lives and how it is used in face recognition technology.

In this article, you will discover the top 5 use cases for face recognition in 2022.

In this article, we will share everything about what is face detection and how face detection works.

 In this article, we will be explaining implementing computer vision in face detection.

In this article, we will be describing 4 areas that face detection is used regularly.

In this article, we touches upon some reasons why face detection is important for innovative technology, businesses, or our day-to-day life!

It is obvious that nobody wants or likes to wait in line. Forming queues are necessary in most businesses when demand exceeds supply. Luckily, companies are able to manage waiting lines and improve customer experience by using Waiting Line Management Systems.

Artificial Intelligence (AI) is the capability of a computer to perform a task without explicitly being instructed. In other words, it is the ability to think and act rationally. AI mimics the capabilities such as decision-making and problem-solving of the human mind.

In this post, we will go into detail by building a demographic analysis application with the Cameralyze no-code platform.

In this post, we will go into detail by building an object detection application with the Cameralyze no-code platform.

In this post, we will go into detail by building a content moderation application with the Cameralyze no-code platform.

In this guide, we will explain in detail how to build a QR Code Reader application on Cameralyze no-code platform.

In this article, we will go into detail by building a human detection application with the Cameralyze no-code platform.

In this article, we'll go through exactly how to build your own emotion detection app on the Cameralyze no-code platform.

In this article, we will explain in detail how to create your own barcode detection application on the Cameralyze no-code platform.

In August, new integrations and new application types were added to our no-code platform. If you're curious about what they are, keep reading.

In this article, we will talk about the updates we made in the first week of August and the new features added.

In this article, we will explain in detail how to create your own face recognition application on the Cameralyze no-code platform.

Kicking this week off with other huge updates! If you're wondering what those updates are, keep reading.

Our team continues to work hard to bring the future one step closer to you. Check out the new developments we have made for you.

We are constantly improving ourselves to provide you with a better service! Let's take a look at the improvements and new releases we made this week.

This article will explain how to upload the data you would like to process on the platform.

This article was written to show how easy it is to use Cameralyze ready-to-use applications rather than building your own Application. You can use this article as a Cameralyze Explore guide.

This article to guide you to design your own application in the my application section on the Cameralyze Platform.