Microsoft Hololens
Introduction Microsoft Hololens for interactive QR code scanning. By leveraging the advanced capabilities of Hololens, users can scan QR codes in their environment, instantly accessing and interacting with digital content overlaid onto the physical world. This integration enhances user experience, streamlines processes, and opens up new possibilities for applications in various industries, including retail, logistics, […]
Mood Scene Generator
Introduction The Product Visualization Tool revolutionizes visual realism with stable diffusion algorithms, creating lifelike scenes and authentic representations for diverse applications. Generate mood scenes of product based on prompts Using Stable Diffusion Models Overview https://javra.com/Javra-Product-Visualization-Tool POC https://background-generate.javra.com/ (for simple text-to-image generator)Â https://background-generate.javra.com/bg_replace.html (for mood scene generator)Â Documentation https://javrasoftware.sharepoint.com/:w:/r/sites/RDinAIML/_layouts/15/Doc2.aspx?action=edit&sourcedoc=%7B6b09bb8a-e028-4e68-9213-994efbfaa2f0%7D&wdOrigin=TEAMS-MAGLEV.teamsSdk_ns.rwc&wdExp=TEAMS-TREATMENT&wdhostclicktime=1722938283631&web=1 GIT https://git.javra.com/internal-rnd/sd-api
Tomato Trail App
Introduction Identify tomatoes, their count using YoloV9 neural network common colors and size Download EnzaCounts.EnzaCounts-Signed 8-1 1.apk Documentation https://javrasoftware-my.sharepoint.com/shared?id=%2Fsites%2FRDinAIML%2FShared%20Documents%2FGeneral%2FTomato%20Trail%20APP&listurl=https%3A%2F%2Fjavrasoftware%2Esharepoint%2Ecom%2Fsites%2FRDinAIML%2FShared%20Documents&viewid=c0a15e4c%2D4fdc%2D43a8%2Da33f%2Dc7630089b33a GIT https://git.javra.com/sutha022/enzacounts/-/tree/production?ref_type=heads
Clod and Tuber Detection
Introduction We have been working on a new dataset and trained full-sized images, which are around 2448×2048 pixels, using the latest YOLOv9 model. Due to the larger image size, we have achieved an inference speed of around 55ms. If we optimize it using TensorRT as we did previously, we can reduce the inference time to […]
Smart Javra Chatbot
Introduction Javra’s Smart AI Chatbot, a cutting-edge solution designed to transform your workflow and enhance the overall employee experience. This intelligent companion provides instant access to crucial information, delivering prompt responses that streamline daily tasks and foster collaboration across all levels within your company. Overview https://javra.com/News/Smart%20AI%20Chatbot POC https://smartuat.javra.com/home
Starting with Speech Data set in Machine Learning
Machine Learning can be implemented in various fields. One of them is speech recognition. Here we will discuss the application of machine learning with speech dataset. First we will go through some basic terms in the area of speech recognition.
Getting Started with TensorFlow Serving
Introduction: TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It is the way you apply a machine learning model after you have trained it and is used for easier deployment of  machine learning models.
Email Classification with Deep Learning
Text classification is one of the common Natural Language Processing(NLP) tasks in which a input text is categorized to a class among many available classes. The same technique can be used for email classification. Different department can be taken as different classes and thus the given input is classified to specific department. We have taken […]