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.

Store-monitoring helps organizations decide which customers are essential for them. It is a commonly known fact that increasing customer convenience is at the utmost importance for businesses. Knowing customer preferences and shopping patterns are becoming more and more important every day since the competition between retail stores are constantly increasing.

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 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 the rising era of facial recognition, understand how facial recognition technologies work in 3 steps : detect, analyze and match.

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!

In this article, we will discuss what hyper-automation is, how it differs from other automation, and why it should be preferred.

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.

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information. If AI enables computers to think, computer vision enables them to see, observe and understand.

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 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.

In this article, we will discuss in details how to build an application from scratch.

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 Application Store guide.

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