Using Image Similarity in Business: Benefits and Applications
Image similarity technology is an AI-based technology that helps to compare and analyze images based on their visual content. In today’s world, businesses deal with a large amount of data, including images and videos. This has led to the need for image similarity technology that helps businesses manage their data more efficiently. Image similarity technology …
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Advancements in OCR: Top 20 Industrial Applications
Optical Character Recognition (OCR) is a technology that enables machines to recognize and interpret printed or handwritten text. It has become an essential tool for businesses looking to streamline their operations and improve efficiency. OCR technology is applied across various industries to automate mundane and time-consuming tasks, such as data entry, invoice processing, and record-keeping. …
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Exploring Object Detection Applications and Benefits
Object detection is a cutting-edge field in computer vision that involves detecting and localizing objects of interest within an image or video. Object detection is a challenging task due to the complexity of natural scenes, which are often cluttered and contain significant variations in object appearance, size, and orientation. Recent advancements in deep learning algorithms, …
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Top 7 No-Code AI Platforms That Are Making AI Accessible
No-code AI platforms are a hot trend that can be leveraged by businesses to help them automate tasks and make data-driven decisions. But which platforms are the best? But before getting into the details, let us understand what a no-code platform is. What is a No-Code Platform? There have been multiple attempts over the decades …
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Edge AI for Secure AI Applications
Edge AI is the future of artificial intelligence. This blog post will explore what Edge AI is and why it could be such an important part of our lives moving forward. What is Edge AI? Edge AI is a new trend in machine learning and artificial intelligence that processes data generated by a hardware device …
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Geospatial AI: A Data-Centric Approach for Growth & Development
GeospatialAI or GeoAI is an evolving field aiming to help organize, process, and analyze spatial big data with spatial science and AI methods like machine learning, deep learning, data mining, and high-performance computing. The increased availability of geospatial data, advancements in AI, and the availability of massive computing power have resulted in the mounting relevance …
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Synthetic Data: The Future of Computer Vision
The term “synthetic data” is used in computer vision to describe images that are generated by algorithms instead of being captured by a camera. These images are usually generated for training artificial intelligence (AI) models. The use of synthetic data has several advantages over real data. First, it is easier to get a large amount …
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Data Labeling for Object Detection: Best Practices
Data labeling is a process that involves adding target attributes to data and labeling them to train the machine and deep learning models. Data labeling is crucial in object detection to perform various computer vision tasks such as object segmentation, object counting, and object tracking. The potential benefits of AI-enabled technology for automating the decision-making …
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Face Recognition: The Emerging Tech of Biometrics
Face recognition technology is becoming more prevalent by opening up new opportunities for businesses and enterprises in terms of biometrics. It is by far the most advanced and relevant AI technology that can perform a wide range of tasks. Although the concept of face recognition was already invented during the 1960s, its technological breakthrough occurred …
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Machine Learning for OCR: Creating a Modern OCR Pipeline
Optical character recognition technology has a far way from recognizing just the text on computerized documents. The applications of OCR are transforming the future of data collection and processing. Whether it’s auto-extracting information from a scanned receipt or translating a foreign language using your phone’s camera, OCR technology has numerous applications that are continuously in …
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Edge AI and Computer Vision: Enabling Real-Time Analytics in IoT Devices
The demand for real-time data processing has expanded across industries, from manufacturing and healthcare to retail and smart cities. This shift is especially noticeable in computer vision, where businesses and organizations require near-instantaneous analytics from devices deployed in the field. Edge AI—a technology that enables processing directly on IoT devices or local servers—has emerged as …...
Generative AI vs. Predictive AI: Understanding the Differences
Artificial Intelligence is a technological innovation reshaping industries in ways we couldn’t have imagined. Among the various branches of AI, two that often come up in conversations are Generative AI and Predictive AI. Despite their growing prominence, there’s a lot of confusion around whether these two types of AI are essentially the same or if …...
DeepLobe and IRI: A Partnership to Protect Your PII
Safeguarding sensitive information has never been more critical. Organizations face the task of protecting vast amounts of Personally Identifiable Information (PII) scattered across various systems. Strict regulations like GDPR compound the challenge, demanding robust and effective data protection strategies. DeepLobe, an AI-powered platform specializing in advanced Computer Vision and Text Analytics, and IRI, a leader …...
Unlocking the Potential of Generative AI
Artificial intelligence is experiencing a transformation with the emergence of Generative AI. This innovative technology can create entirely new content, from realistic images and music to human-like text. It’s revolutionizing industries and changing how we interact with technology and our environment. Introduction to Generative AI Generative AI is a branch of artificial intelligence focused on …...
Exploring Plant Segmentation in Agriculture
Plant segmentation is a powerful tool in Agriculture, a promising and competitive field where data-driven insights are generated from the information gathered from technology. Precision agriculture is transforming how we grow and manage crops. Plant segmentation is crucial in this revolution. It isolates and analyzes individual plants within an image. This task unlocks a wealth …...
3D Pose Estimation for Enhanced Industrial Automation
Optimizing production processes in a competitive manufacturing landscape is crucial for success. 3D pose estimation emerges as a powerful tool, enabling robots and machines to understand and interact with the physical world with greater precision. Manufacturers unlock a range of benefits by extracting 3D pose information from objects and people in industrial settings, from improved …...
LLM-Based Document Extraction: Decoding Data
Businesses were and are drowning in a sea of unstructured data in the corporate world. Important information gets scattered across documents, making retrieval a daunting task. LLM-based document extraction is a technological marvel that not only rescues businesses from chaos but also opens new doors to unparalleled efficiency. What is LLM-Based Document Extraction? LLM (Large …...
Illuminating Advances in Diabetes Wound Detection with AI
Diabetes wound detection stands at the forefront of healthcare challenges, demanding innovative solutions for timely intervention. In this pursuit, the integration of artificial intelligence (AI) emerges as a beacon of hope, offering unparalleled precision and efficiency. This blog unravels the transformative landscape of diabetes wound detection, spotlighting the pivotal role AI plays in revolutionizing the …...
Building Comprehensive Datasets for No-Code AI
Navigating the terrain of no-code AI demands a strategic approach to building datasets that serve as the cornerstone for effective model training. Picture this as the meticulous curation of a library, where each volume (dataset) holds the key to unlocking the potential of various AI models. For the artificial intelligence models to be as precise …...
Conversational AI Meets No-Code: A Business Revolution
Today’s fast-paced business environment is about strategically leveraging the latest technologies to unlock tangible business value. Two key players in this technological revolution are Conversational AI and No-code AI platforms. These innovations hold the potential to reshape how businesses operate and engage with their customers. Consider the evolution of customer interactions, where a well-crafted chatbot …...
No-Code Data Extractor Models: Simplifying Complex Tasks
Data is the currency of the digital age, and the ability to extract and process information efficiently and accurately is essential for businesses of all sizes. However, data extraction can be a complex and time-consuming task, especially when dealing with large volumes of data or unstructured documents. DeepLobe, a trailblazer in the realm of no-code …...
Safeguarding Aadhaar Numbers with No-Code AI Masking Models
As we navigate the ever-evolving landscape of data privacy and security, one critical aspect that demands our attention is the protection of Aadhaar card numbers. This unique identifier, issued by the Indian government, contains a wealth of personal information and serves as a cornerstone of identity verification in India. However, ensuring the confidentiality of Aadhaar …...
Simplifying PAN Data Extraction with No-Code AI
PAN (Permanent Account Number) is a 10-digit alphanumeric number issued by the Indian government to every Indian taxpayer. It is a unique identification number used for various purposes, such as filing income tax returns, opening bank accounts, and applying for loans. In today’s data-driven world, extracting and managing information efficiently is paramount. PAN plays a …...
Image Background Removal: The Future of Image Editing
In today’s digital age, image editing and processing have become essential aspects of various industries, from e-commerce to marketing and beyond. One of the key challenges in image editing is background removal, a process that involves isolating the main subject of an image from its background. Traditional methods of background removal often require meticulous manual …...
How No-Code AI Platforms Are Making Signature Detection Easier
Signatures are a common way to authenticate documents and transactions. In today’s digital age, where every transaction and interaction is rapidly moving toward the online sphere, the importance of signature detection cannot be underestimated. Signatures have long been a hallmark of legal agreements, official documents, and personal correspondence. However, manually detecting signatures can be a …...
Aadhaar Data Extraction – The No-Code AI Way
Aadhaar is a 12-digit unique identification number issued by the Unique Identification Authority of India (UIDAI) to all Indian residents. It is the world’s largest biometric ID system, with over 1.3 billion enrolled users. Aadhaar data is highly valuable for a variety of purposes, including authentication, verification, and financial transactions. However, extracting Aadhaar data from …...
Efficient Parking Management with No-Code AI
Efficient parking management is a crucial aspect of urban development, ensuring smooth traffic flow, positive customer experiences, and optimal revenue generation. With the advancements in artificial intelligence (AI) and computer vision, parking management can be revolutionized to overcome traditional challenges. In this blog, we will explore how No-Code AI technology can maximize parking management efficiency. …...
Optimizing Customer Service with Text Moderation in Chatbots
Maintaining positive relationships with consumers is crucial in today’s competitive business landscape, and exceptional customer service is necessary to achieve this. To enhance customer service, many businesses have employed chatbots as an effective tool. However, it is crucial to ensure that these chatbots continually provide appropriate and moderated responses to maintain a positive user experience. …...
No-Code AI: Unlocking the Power of NLP & Computer Vision
In recent years, there has been a notable shift in the field of data science toward increasing the accessibility of artificial intelligence (AI) for a wider audience. One emerging trend that has gained significant traction is the use of no-code AI models. These models empower individuals without extensive programming knowledge to harness the power of …...
No-code People and Vehicle Detection Model for Video Surveillance
As video surveillance technology advances, so do the tools and techniques that make it easier to monitor and secure public spaces. One of the most important developments in recent years has been the advent of no-code people and vehicle detection models. With the proliferation of cameras in public spaces, the need for efficient and effective …...
Enhancing Customer Insights with AI-Powered Sentiment Analysis
In today’s competitive business landscape, understanding customer feedback is critical for making informed business decisions. Customer feedback provides valuable insights into customer experiences, preferences, and pain points, which can help businesses improve customer satisfaction, loyalty, and retention. With advancements in technology, one of the most promising and valuable tools for analyzing customer data is sentiment …...
DeepLobe’s Table Extractor for Insurance Data Entry
As the world of insurance continues to grow, the need for insurers to adopt cutting-edge solutions is increasing. Insurance businesses work with large amounts of data on a daily basis, many of which are in the form of tables. Traditionally, this data is manually entered into spreadsheets or databases, which can be time-consuming and error-prone. …...
Ensuring Public Safety with Face Detection Using No Code AI
Public safety is a key concern, and monitoring is essential to ensuring it. Traditional monitoring techniques may not be sufficient for the growing number of public spaces, including parks, streets, airports, and shopping centers – which are susceptible to a range of security risks, from theft and vandalism to terrorism and mass shootings. Effective surveillance …...
10 Ways to Use PII Data Extractor to Protect Your Customers’ Privacy
Businesses have access to more customer data than ever before. With the rise of big data, machine learning, and artificial intelligence, companies can collect, analyze, and leverage large amounts of customer information in ways that are impossible once. However, with great power comes great responsibility, and businesses have a duty to protect their customers’ privacy. …...
Enabling Health and Fitness Apps with Human Pose Detection Using No-Code AI
The health and fitness sector has been developing quickly, with an increasing focus on tailored experiences and data-driven insights. Health and fitness apps can now offer improved user experiences thanks to AI, which has emerged as a potent tool in this field. Human pose detection, which involves determining the locations and orientations of human body …...
Solving Industrial Challenges with Instance Segmentation
Segmentation is a common term used in business today. Image Segmentation is a crucial computer vision or vision AI application – a technique used to divide visual data such as an image into segments containing specific, similar, and important information of the same class label. It applies a range of methods and algorithms that help …...
Extract PII with No-code
In the digital age, personal identifiable information (PII) is generated, stored, and shared constantly across various platforms. PII refers to any information that can be used to identify an individual, such as name, address, social security number, email address, or phone number. With the increasing importance of data privacy and security, it has become crucial …...
Top 15 Industrial Applications for Image Classification
Image classification technology has diverse applications from medical imaging to satellite image analysis. Starting from healthcare, banking, and manufacturing to entertainment, image classification is proving to be more efficient and productive. The image classification process involves the use of one or more spectral or textural characteristics to categorize and label groups of pixels within an …...
Semantic Segmentation: The Key to Industrial Efficiency
Semantic segmentation is the process of assigning a label to each pixel in an image, based on the category of the object or feature it represents. From object recognition, precision mapping, quality control, and security to autonomous system upgrades, semantic segmentation is an all-in-one image segmentation application for better results. This can lead to improvements …...
Image Segmentation: The Most Interesting Applications
Image segmentation is the process of dividing an image into different parts or segments to identify the objects and boundaries within it. It is one of the most essential tasks in computer vision, as it enables us to extract valuable information from images. Image segmentation has many applications in various fields, including medical imaging, autonomous …...
Using Image Similarity in Business: Benefits and Applications
Image similarity technology is an AI-based technology that helps to compare and analyze images based on their visual content. In today’s world, businesses deal with a large amount of data, including images and videos. This has led to the need for image similarity technology that helps businesses manage their data more efficiently. Image similarity technology …...
Advancements in OCR: Top 20 Industrial Applications
Optical Character Recognition (OCR) is a technology that enables machines to recognize and interpret printed or handwritten text. It has become an essential tool for businesses looking to streamline their operations and improve efficiency. OCR technology is applied across various industries to automate mundane and time-consuming tasks, such as data entry, invoice processing, and record-keeping. …...
Exploring Object Detection Applications and Benefits
Object detection is a cutting-edge field in computer vision that involves detecting and localizing objects of interest within an image or video. Object detection is a challenging task due to the complexity of natural scenes, which are often cluttered and contain significant variations in object appearance, size, and orientation. Recent advancements in deep learning algorithms, …...
Top 7 No-Code AI Platforms That Are Making AI Accessible
No-code AI platforms are a hot trend that can be leveraged by businesses to help them automate tasks and make data-driven decisions. But which platforms are the best? But before getting into the details, let us understand what a no-code platform is. What is a No-Code Platform? There have been multiple attempts over the decades …...
Edge AI for Secure AI Applications
Edge AI is the future of artificial intelligence. This blog post will explore what Edge AI is and why it could be such an important part of our lives moving forward. What is Edge AI? Edge AI is a new trend in machine learning and artificial intelligence that processes data generated by a hardware device …...
Geospatial AI: A Data-Centric Approach for Growth & Development
GeospatialAI or GeoAI is an evolving field aiming to help organize, process, and analyze spatial big data with spatial science and AI methods like machine learning, deep learning, data mining, and high-performance computing. The increased availability of geospatial data, advancements in AI, and the availability of massive computing power have resulted in the mounting relevance …...
Synthetic Data: The Future of Computer Vision
The term “synthetic data” is used in computer vision to describe images that are generated by algorithms instead of being captured by a camera. These images are usually generated for training artificial intelligence (AI) models. The use of synthetic data has several advantages over real data. First, it is easier to get a large amount …...
Data Labeling for Object Detection: Best Practices
Data labeling is a process that involves adding target attributes to data and labeling them to train the machine and deep learning models. Data labeling is crucial in object detection to perform various computer vision tasks such as object segmentation, object counting, and object tracking. The potential benefits of AI-enabled technology for automating the decision-making …...
Face Recognition: The Emerging Tech of Biometrics
Face recognition technology is becoming more prevalent by opening up new opportunities for businesses and enterprises in terms of biometrics. It is by far the most advanced and relevant AI technology that can perform a wide range of tasks. Although the concept of face recognition was already invented during the 1960s, its technological breakthrough occurred …...
Machine Learning for OCR: Creating a Modern OCR Pipeline
Optical character recognition technology has a far way from recognizing just the text on computerized documents. The applications of OCR are transforming the future of data collection and processing. Whether it’s auto-extracting information from a scanned receipt or translating a foreign language using your phone’s camera, OCR technology has numerous applications that are continuously in …...
Image Similarity Using Deep CNN: Theory to Code
Image similarity is becoming popular in recent times. The ability of an image similarity model to find identical images with the utmost accuracy in defined data sets is helping in many ways. Finding plagiarized photos, identifying fake accounts, discovering original images of people, products, and places are a few of the image similarity real-world applications. …...
Image Annotation: Guide to Create Training Data for Computer Vision
Image annotation is one of the vital applications of computer vision, which allows the machines a high-level ability to deconstruct digital images or videos and interpret the visual information just like humans. Most of the remarkable applications of AI like self-driving cars, medical imaging, self-flying drones, etc., are only possible through image annotation. While image …...
Sentiment Analysis: Analyze Your Social Audiences’ Opinions
Sentiment analysis is the application of text mining tools to identify the objective behind a piece of specified information and predicting the positive or negative outcomes out of it. Sentiment analysis helps businesses primarily to analyze social sentiments and get informed about the voice of the customers regarding a brand, product, or service. Sentiment analysis …...
Top 10 Ways Deep Learning Is Scaling Computer Vision Applications
Computer vision is gradually becoming one of the most prominent fields in the world of data science. We are constantly leveraging this technology in our daily lives – be it the photo search feature on google lens or face unlocking feature on smartphones or photo tagging through auto search, etc. Deep learning allows machines and …...
Low & No-Code ML Platforms: The Future of Application Development
Machine Learning (ML) platforms or modern app platforms are a recent disruption transforming the evolution of no-code applications. As businesses across the globe are opting for a faster development time and lower operating costs, the low-code application platforms are becoming more than a trend. Streamlining the low code platforms over time is advancing the use …...
Deep CNN for Image Classification: How it Makes a Difference
Deep convolutional neural network (CNN) based image classification plays an essential role in seamlessly performing most of the challenges from disease diagnosis to predicting consumerism behavior. Using Deep CNN reduces the time and effort required to spend on extracting and selecting classification features manually. In recent times, deep CNN has been applied to image classification …...
Text-Based Image Retrieval: Using Deep Learning
Text-based image retrieval (TBIR) systems use language in the form of strings or concepts to search relevant images. Computer Vision and Deep Learning algorithms analyze the content in the query image and return results based on the best-matched content. With the rapid advancement in Computer Vision and Natural Language Processing(NLP), understanding the semantics of text …...
Object Detection – A Simplified Solution
Object detection has grown significantly over the years. Classifying and finding an unknown number of individual objects within an image or video is considered as one of the challenging and impossible tasks that becomes a solution beyond what is required for image classification. Object detection is primarily powered by deep learning and convolutional neural networks …...
Machine Learning for Transformers – Explained with Language Translation
Day by day the number of machine learning models is increasing at a pace. With this increasing rate, it is hard for beginners to choose an effective model to perform Natural Language Understanding (NLU) and Natural Language Generation (NLG) mechanisms. Researchers across the globe are working around the clock to achieve more progress in artificial …...
Understanding Images from Pixel Level with Semantic Segmentation
Image Segmentation is considered a vital task in Computer Vision – along with Object Detection – as it involves understanding what is given in the image at a pixel level. It provides a comprehensive description that includes the information of the object, category, position, and shape of the given image. There are various algorithms for …...
Harnessing AI for an Effective COVID Vaccine Rollout
AI (artificial intelligence) has been a vital practice since the early days of the COVID-19. Tracking active patients count, analyzing thousands of scientific research papers for definitive treatment options, and in vaccine development processes AI has been widely used. The application of next-generation technology frameworks and digital tools not only helped in fastening healthcare operational …...
How Machine Learning Can Ace Influencer Marketing Game?
Influencer marketing has grown significantly in the past few years. Due to the pervasive use of social media channels to promote products and services, influencer marketing can be considered as a new-age digital revolution. With a digitally empowered general populace, the CPG industry is now able to authenticate and communicate brand stories across distinct socials …...
Sentiment Analysis -Constitute Customer Emotions For Better Service
The increasing demand to channelize customers’ emotions along with their positive and negative reactions for optimizing operations and increasing revenues. Analyzing these reactions and extracting intelligence from them will help brands gauge the ROI of their PR and marketing efforts. And this era of the internet is making it far much easier to collect opinions …...
Computer Vision-Navigating The Future Of Autonomous Vehicles
The autonomous vehicles segment has recently seen a tremendous growth, all thanks to computer vision. Classifying and detecting objects, signs, humans, other vehicles on the path, marking 3D maps, real-time traffic insights, etc., are a few research advancements in the field of computer vision. And these advancements are driving the growth of computer vision in …...
Computer Vision in Manufacturing for Industrial Automation & Transformation
Though various forms of computer vision (A.K.A machine vision) are used in manufacturing for decades, the recent advancements in machine learning and computer vision are increasing the demand and need for computer vision applications on the shop floor. According to Grand view research, the global market for computer vision technology is expected to reach USD …...
Disruptive Machine Learning Trends
Machine Learning (ML) is one of the most disruptive trends of all time. With an increasing number of organizations indulging it today, Machine Learning (ML) technology is becoming one of the most powerful applications. While businesses are adopting transformation, it subsequently is speeding up the growth of ML and other supporting tools of ML. As …...
Building Smart Cities: The Role of Artificial Intelligence & Machine Learning
Smart cities are a new-age revolution to maximize the utilization of technology, optimize the consumption of natural resources, and human capital to fuel sustainable economic growth and participatory governance. Smart cities are mostly employed across highly populated urban areas in major countries. For instance, these cities adopt a combination of cameras, sensors, and artificial intelligence …...
Computer Vision for Smart and Sustainable Agriculture
The recent advancements in Computer Vision technology are upgrading the overview of its applications in agriculture. The combination of Artificial Intelligence, Computer Vision, and Machine Vision is making the world of farming more advanced than humankind ever discovered. Employing Agri-Tech is disrupting the traditional dynamics of farming by helping farmers in better crop yielding. Using …...
Revolutionizing Retail With Computer Vision & Deep Learning
During the 1970s when the concept of Computer Vision was first introduced, there weren’t enough human and technological resources to bring the ideas to reality. With the exponential amounts of data generated in recent years, there is a tremendous leap in technology that has put Artificial Intelligence and Computer Vision in the front seat for …...
Extracting Business Value With Image Processing
Image processing is an art of mathematically altering digitized images to extract quantitative information by leveraging cutting-edge technologies. With advancements in technology and hardware (camera) – along with the availability of raw data from various sources in the form of text, images, and videos that needs to be processed – companies are adopting artificial intelligence …...
OCR & Computer Vision -Creating a Modern Algorithm
Today we are accessible to a mountain of intelligent technologies. And no doubt that computer vision stores a vital space among all of them. When we talk about computer vision, the foremost application that we think of is Image Recognition. But indeed, a computer vision also encompasses OCR (Optical Character Recognition) algorithm, which allows seamless …...
Intertwining Machine Learning and APIs
APIs (or Application Programming Interfaces) have been identified as important intermediaries between technologies like machine learning(ML) and their end-users. With big data streaming in vast data pools, organizations are turning towards machine learning APIs to leverage the technology and withdraw the complexities involved in creating and deploying machine learning models. APIs are making machine learning …...
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