Edge AI platform with pre-trained machine learning models

Setting Up a Data Lake in AWS with example of simple POC using RDS database in AWS: A Step-by-Step Guide

Setting up a Proof of Concept (PoC) for a data lake in AWS involves several steps, from configuring databases to transforming and cataloging data using AWS Glue. This guide outlines the process, focusing on efficient configuration, security, and creating a robust ETL pipeline.

What is Object Tracking

Object tracking is a subfield of computer vision that focuses on continuously identifying and following objects as they move across frames in a video. Unlike object detection, which identifies and locates objects in individual frames, object tracking maintains the identity of the detected objects across multiple frames, allowing for the analysis of their movement and behavior over time.

Object Detection

Object detection, a subfield of computer vision, focuses on identifying and locating objects in images or videos. It involves classifying objects and determining their positions using bounding boxes. This capability is crucial for applications like autonomous vehicles, surveillance, retail, medical imaging, and sports. Object detection includes multi-class detection, identifying multiple types of objects, and multi-object detection, detecting multiple instances of objects.

AI for Predictive Maintenance in Manufacturing: Revolutionizing Industrial Efficiency

In the fast-paced world of manufacturing, minimizing downtime and optimizing operational efficiency is crucial. Predictive maintenance (PdM) powered by artificial intelligence (AI) has emerged as a game-changing solution for these challenges. By leveraging real-time data and advanced machine learning models, AI allows manufacturers to predict equipment failures before they occur, preventing costly breakdowns and maximizing the lifespan of critical machinery.

Querying and summarizing text using LLMs

Brief overview of how query-focused multi-document summarization (QFMS) works, along with a small demo using Python. The evolution of Natural Language Processing (NLP) and computer hardware has assisted us with efficient summarization and querying, saving us a lot of time and solving the issue of redundant information.

Queue Management with Real-Time Detection and Tracking

Real-time detection and tracking technologies are revolutionizing queue management by using AI-driven cameras to monitor queues, track individual movements, and analyze key metrics like queue length, serving time, and estimated wait times. This automated approach helps businesses optimize staffing, reduce customer wait times, and enhance the overall customer experience by providing accurate, real-time insights and improving operational efficiency across sectors like retail, healthcare, and public transportation.

Dwell Time and Behavior Analysis

Dwell time and behavior analysis help businesses understand how people move through and interact with spaces. By tracking how long individuals stay in specific areas and their movement patterns, companies can optimize layouts, improve customer experiences, and enhance operational efficiency in environments like retail stores and public venues.

Decoding Visual Relationships: Analyzing Stacked Boxes with OpenCV Edge Detection

In the realm of computer vision, the analysis of stacked objects is a fascinating area that holds immense potential for various applications, from industrial automation to robotics. In this article, we delve into a specific scenario involving stacked boxes, utilizing the power of OpenCV's edge detection to unravel the visual relationships and distances between these boxes.

License Plate Recognition (LPR): The Power Behind Smarter Roads

License Plate Recognition (LPR) technology is revolutionizing road management by automatically identifying and tracking vehicles through their license plates. This powerful tool is being implemented in various traffic systems to enhance efficiency, security, and enforcement. By enabling real-time monitoring, LPR improves traffic flow, aids in law enforcement by identifying stolen or unauthorized vehicles, and contributes to smarter, more automated roads. Its applications extend to toll collection, parking management, and even urban planning, making LPR a key component in the future of intelligent transportation systems.

Disability Insurance Service

We transformed Disability Insurance Services' (DIS) outdated DMS platform by modernizing both the front-end and back-end, drastically improving performance and adding new features. The overhaul included updating React libraries, optimizing database queries to reduce proposal generation time from 161 seconds to 0.7 seconds, and enhancing system stability. We also introduced automated email and SMS campaign management tools, streamlined proposal PDF generation, and implemented secure login features. These upgrades have empowered DIS brokers, enhanced productivity, and positioned the company for future growth in the competitive disability insurance market.

Facial Recognition

Facial recognition technology, now widely used in security, marketing, and device access, identifies people by capturing and analyzing facial features. While it offers benefits like improved security and personalized services, it raises significant ethical concerns, such as privacy invasion, mass surveillance, and data security risks. Balancing these advantages with ethical considerations is crucial for its responsible use.

How Artificial Intelligence can change medicine forever if implemented strategically

Artificial Intelligence in Medicine From the development of MRI and X-ray machines...

Rethinking Coronavirus: The Artificial Intelligence Solution

How AI Can Preemptively Prevent Coronavirus Outbreaks What was once a meme in February has become a global pandemic just…

Crowd Surge Analysis

Design a computer vision solution that can assess the crowd density and behavior in a venue and inform the operators of the typical points of crowd convergence and the current crowd situation.

Humans, pack your bags!! ChatGPT is taking over your jobs!

What is ChatGPT, and is it here to replace our jobs? Read our take on it.

Padmé revisits US Open

We are thrilled to announce that Padmé, the flagship product from Lotus Labs, has revisited US Open Tennis 2022 after our launch in 2021. Since then, we have successfully deployed our platform at Wimbledon, The Shed and running pilots at TD Garden and Universal studios.

Successful Remote Work: A Joint Effort From Employer and Employee

Whether you are an employee or an employer, switching to a remote setting requires a fresh perspective and commitment to change. Not only is it unreasonable to have office expectations for remote work, but it is counterproductive.

How do Machines learn and work?

In a world that runs on machines, algorithms are all around you. Whether you are reading this article, watching some video, or browsing the web, it is because an algorithm brought it to you.

The Future of Work is Remote

The Covid-19 pandemic has pushed remote work to mainstream.

Clarifying AI, Machine Learning, Deep Learning, Data Science with Venn Diagrams

Artificial intelligence is the collection of tasks that machines can execute. Machines learn these tasks with the help of machine learning and deep learning for specific cases. Together, these three processes are utilized in data science so that data can be converted into insights.

Choosing A Right Estimator

Picture yourself back in school, bracing for exams in a couple of weeks. How will you prepare for your exams? Some strategies you may utilize include reading text books or class notes, scavenging Google for resources, or watching videos.

ChatGPT: Your Next Doctor?

In this article, we explored whether AI could replace a visit to the doctor's office and the results were extremely surprising!

7 Ways to Improve Machine Model Results

Imagine you have prepared for an exam or competition, but in spite of your efforts you do not get the results you want. If you choose to try again, you will likely revise your preparation tactics based on your first experience.

Schooling a Machine

In our day to day life we face many tasks whether they are expected or unforeseen. Unsurprisingly, when we face unforeseen challenges we are more prone to struggles and failure, but when it comes to tasks we were ready for, usually we are well more equipped to complete them with flying colors.

Series Preview-ChatGPT Your Next _?

Lotus Labs is proud to launch a new article series: ChatGPT Your Next _? In this series, our team of researchers will determine whether AI can truly replace the job services of humans and the implications if it can. Read the series preview and stay tuned for next week.

Data Lake House: Bridging the Gap Between Data Warehouses and Data Lakes

In the expansive landscape of data management, a data lake is a repository where raw, unstructured data resides, often in the form of object blobs or files. The evolution of this concept brings us to the forefront of the big data ecosystem: the data lake house. This innovative approach seamlessly integrates the strengths of traditional data warehouses and the flexibility of data lakes, marking a significant stride in modern data architecture.

Neural Networks: The Machine Brain

Our brain is made up of billions of nerve cells, called neurons. Arranged in a network, neurons communicate with each other in a sequence-like manner: Once one neuron receives information, it passes it to another neuron, which passes it to another and so on.

AI-Powered Updates Coming Soon to Your Favorite Apps

Learn about AI updates coming soon to your favorite professional apps by the end of 2023!

Spotlighting AI in the Retail Industry

In this article, we will highlight three specific AI applications used by top retailers to transform the customer experience.

3 AI Tools useful for any professional

In this article, we highlight why every professional should utilize or at least be aware of three AI tools: Bing Chat, Canva Pro, and Otter.ai.

Enhancing Consulting with AI Tools

In this article, we explore several potentially transformative AI tools that can help consulting companies keep up with increasingly complex industries.

The Promise of AI in the Energy Industry

From minimizing companies’ environmental footprint to optimizing power grids, AI has begun to revolutionize many aspects of the energy sector. This article will highlight several specific AI solutions that prominent energy companies are using and why these solutions can boost climate preservation.

Smart Farming: How AI is Transforming Agricultural Practices

With its ability to analyze vast amounts of data, optimize decision-making processes, and automate complex tasks, AI has found its place in fields, farms, and greenhouses. This article will discuss some fascinating examples of agriculture companies harnessing this technology.

Optimize your business through data lakes

A data lake is a versatile repository for diverse data types, enabling flexible storage and easy accessibility, while databases are best suited for structured data and optimized for specific operations. In the retail industry, data lakes serve as a central hub for collecting, processing, and analyzing a wide range of data from various sources, driving data-driven excellence, business growth, and enhanced customer satisfaction.

Enhancing Sales Email Campaigns with Reinforcement Learning

Reinforcement learning (RL) is reshaping sales email campaigns by optimizing email selection to boost conversion rates. It operates through trial and error, focusing on maximizing rewards. RL offers benefits like adaptive personalization and dynamic decision-making but faces challenges like data quality and initial exploration. Its use promises enhanced digital marketing outcomes.

Unveiling Sentiment Analysis Magic: A Hands-On Demo with Audio

In the realm of data analytics, unlocking the sentiments embedded within audio data adds a new dimension to our understanding of human expression. Imagine the ability to decipher emotions from spoken words, transforming conversations into actionable insights. Today, we're diving into the fascinating world of sentiment analysis through a live demonstration with audio, showcasing how this transformative process can decode sentiments and provide valuable insights.

Conversational memory

Conversational memory in chatbots is crucial for maintaining context and providing accurate responses. It can be managed through various types, including Conversation Buffer Memory, Conversation Summary Memory, and others, each offering different approaches to balancing context and efficiency in conversations.

Quantum Computing: Shaping the Future of Technology and the Workplace

In our rapidly evolving technological landscape, quantum computing is a notable buzzword that has garnered significant attention. This groundbreaking field of research holds immense potential to revolutionize industries and solve complex problems that were previously unimaginable.

Padmé 2.0

We just launched Padmé 2.0! Padmé had a remarkable journey in 2022, from revisiting the US Open and Wimbledon to foraying into new venues like The Shed, TD Garden, and Universal studios.

Padmé revisits US Open

Crowd Surge Analysis

Design a computer vision solution that can assess the crowd density and behavior in a venue and inform the operators of the typical points of crowd convergence and the current crowd situation.

Truck Logo Recognition using MobileNet and Yolo

Truck logo recognition looks like an easy classification, just like classifying a car or a truck in the vehicle data collection.

Optimizing models and controllers for distributed energy resources

From Demand Response programs to utilities rates, AI can help optimizing energy models.

Accurate insurance claims prediction with Deep Learning

Accurate prediction gives insurance companies a chance to reduce financial loss for the company.

Forecasting retail store sales with deep learning using entity embeddings

Accurate retail sales demand forecasting is critical for optimal resource allocation, budget planning and other related retail tasks during the year.

Introduction to Convolutional Neural Networks and its Applications

Convolutional Neural Networks are deep neural networks that are primarily used for computer vision.

Ingress Egress

Ingress-Egress computer vision models revolutionize the monitoring of entry and exit points by utilizing AI and image recognition technologies. These systems provide real-time tracking of individuals and vehicles, enabling smarter management of high-traffic areas such as office buildings, airports, and public venues. By analyzing movement patterns, these models help optimize security, improve traffic flow, and enhance operational efficiency. Leveraging deep learning algorithms, these solutions adapt to varying environments and conditions, ensuring accurate monitoring and automation for modern smart infrastructures, ultimately reducing bottlenecks and enhancing safety.

Sharing knowledge is the key to keep growing

Setting Up a Data Lake in AWS with example of simple POC using RDS database in AWS: A Step-by-Step Guide

What is Object Tracking

Object Detection

AI for Predictive Maintenance in Manufacturing: Revolutionizing Industrial Efficiency

Querying and summarizing text using LLMs

Queue Management with Real-Time Detection and Tracking

Dwell Time and Behavior Analysis

Decoding Visual Relationships: Analyzing Stacked Boxes with OpenCV Edge Detection

License Plate Recognition (LPR): The Power Behind Smarter Roads

Disability Insurance Service

Facial Recognition

How Artificial Intelligence can change medicine forever if implemented strategically

Rethinking Coronavirus: The Artificial Intelligence Solution

Crowd Surge Analysis

Humans, pack your bags!! ChatGPT is taking over your jobs!

Padmé revisits US Open

Successful Remote Work: A Joint Effort From Employer and Employee

How do Machines learn and work?

The Future of Work is Remote

Clarifying AI, Machine Learning, Deep Learning, Data Science with Venn Diagrams

Choosing A Right Estimator

ChatGPT: Your Next Doctor?

7 Ways to Improve Machine Model Results

Schooling a Machine

Series Preview-ChatGPT Your Next _?

Data Lake House: Bridging the Gap Between Data Warehouses and Data Lakes

Neural Networks: The Machine Brain

AI-Powered Updates Coming Soon to Your Favorite Apps

Spotlighting AI in the Retail Industry

3 AI Tools useful for any professional

Enhancing Consulting with AI Tools

The Promise of AI in the Energy Industry

Smart Farming: How AI is Transforming Agricultural Practices

Optimize your business through data lakes

Enhancing Sales Email Campaigns with Reinforcement Learning

Unveiling Sentiment Analysis Magic: A Hands-On Demo with Audio

Conversational memory

Quantum Computing: Shaping the Future of Technology and the Workplace

Padmé 2.0

Padmé revisits US Open

Crowd Surge Analysis

Truck Logo Recognition using MobileNet and Yolo

Optimizing models and controllers for distributed energy resources

Accurate insurance claims prediction with Deep Learning

Forecasting retail store sales with deep learning using entity embeddings

Introduction to Convolutional Neural Networks and its Applications

Ingress Egress