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Case studies across various verticals
such as education, sports, retail etc

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Crowd Counting at US Open

We have partnered with PMY and deployed a crowd-counting visual interface at US Open 2021.

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IOTech

Visual Inference on Edge

We have partnered with a leading IoT edge company to offer visual inferencing solutions.

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Educompass

Building an entire EduTech platform

Lotus Labs helped realize an entrepreneur’s vision of creating an advanced scholastic planner capable of empowering educational planning. Lotus Labs’s data-driven solutions have paved the way for this product to be further implemented on a larger scale.

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CHSI Technologies

Modernizing Web Technology Infrastructure

Learn how Lotus Labs helped modernize CHSI’s web technology

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CHSI Technologies

Implementing the Most Suitable Dashboard and Reporting Tool

Lotus Labs built a custom analytics dashboard

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PMY

Ingress Egress

The application of computer vision and deep learning in an application which allows the user to read a video and count his desired object in the desired direction. This has a phenomenal impact on retail and supply-chain sectors for various use-cases.

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Automating Data Entry with LLM

Automating Data Entry with LLM: A Game Changer

In this article we talk about how data from documents can be extracted in structured format ,this helps in automating the tasks of data entry and can help in making data validation faster.

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CS Wholesale and Grocers

Reinventing Workflow of a Grocery Giant (CSWG)

A Case study about how Lotus Labs partnered with C&S Wholesale Grocers (CSWG) to develop innovative products that streamline and enhance operational efficiency

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Blogs related to some of our POC's
and latest trends in AI tech
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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.

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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.

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Disability Insurance Service

Lotus Labs 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. Lotus Labs also introduced automated email and SMS campaign management tools, streamlined proposal PDF generation, and implemented secure login features.

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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.

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Call Quality Checks with OpenAI's GPT API

In today's digital age, customer service is crucial in shaping brand perception and ensuring customer satisfaction. OpenAI's GPT-based API emerges as a powerful tool for automating quality checks in customer call centers, transforming the way businesses ensure the efficiency and effectiveness of their customer interactions.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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