Amenity Technologies

When hard work meets #teamwork, amazing things happen! We’re so electrified and proud to announce that Amenity Technologies has won the Best Emerging Technology Company award at the Rajkot Information Technology Association (RITA) event! 🏆✨ This award means a lot to us, but it’s not just about the trophy. It’s about all the hard work, long hours, and #teamwork that got us here. Every single person on our team played a part in making this happen. 🤝 We would like to take this opportunity to share that our CTO Yagnik Thanki is one of most hard working member of our team, he is #backbone of operations. He is true example of leading by example. Of course not to forget other team members who are following his footsteps and delivering excellent results for complex problems. We want to extend our special thanks you to the jury and to #RITA for believing in us and propelling to shine. Your support really encourages us to keep learning and growing. To our #amazing team: This is your #achievement. Together, we made this possible! We congratulate all the awardees for their achievements. As we celebrate today, we know there’s a lot more to learn and a lot more exciting things to do. We’re ready for whatever comes next and can’t wait to see what the future holds! 🚀 Let’s keep working hard, learning, and building amazing things together!

🔍 Data Collection & Annotation : AI-Powered Defect Detection Project Data Collection | Data Annotation Requirement We have an exciting requirement for a client and are looking for professionals who can help us source a large dataset focused on various structural defects. If you specialize in data collection and annotation, we would love to hear from you! We are specifically looking for high-resolution images of defects typically found exterior houses, apartments, and buildings. The defects may be on exterior surfaces. We would three to four defects out of below given list. Types of Defects: - Cracks - Water Damage - Spalling - Biological Growth - Blistering/Peeling of Paint - Rotting/Decay - Infestation - Mortar Deterioration - Pitting - Staining Requirements: 1. 3-5K high-resolution images per defect category (more images are welcome). 2. Ideally, we are looking for datasets suitable for AI/ML projects. 3. Preference for open-source datasets but open to purchasing if necessary. If you can help us source this type of data or know someone who can, please reach out in DM! #DataCollection #DataAnnotation #MachineLearning #ArtificialIntelligence #AIDatasets #DefectDetection #ComputerVision #OpenData #AIProjects #DataForAI

We’re thrilled to share that Amenity Technologies has been nominated for the IT/ITeS Excellence Awards 2024! Join us at the event as we celebrate the best in technology and innovation. Together, let’s drive the future forward! Vivek Agheda Rajkot Information Technology Association

We’re thrilled to share that Amenity Technologies has been nominated for the IT/ITeS Excellence Awards 2024! Join us at the event as we celebrate the best in technology and innovation. Together, let’s drive the future forward! Vivek Agheda Rajkot Information Technology Association

#MetaQuest3 #virtualreality #technology #immersiveexperience

"AI ab games seekh raha hai: 'National Sports Day ka part banne se pehle thodi practice zaroori hai!'" 🏅🤖🎮 #NationalSportsDay #AIlearning #GameOn #TechAndSports #AIInAction #SportsDayFun #AITraining #TechMeetsSports #AIandGames #GamingAI

🇮🇳 Happy Independence Day! 🇮🇳 we celebrate the spirit of freedom and innovation that defines our nation. Together, we’re committed to creating AI solutions that drive progress and contribute to India’s growth. Let’s continue to innovate and inspire! #IndependenceDay #India #Innovation #AI

Imagine watching your favorite sports match, but with superhero vision! That's what our Segment Anything Model 2 hashtag #SAM2 does for you. Just like how you follow your favorite wrestler, hashtag #VineshPhogat, in a match, SAM2 follows every move, every twist, and every turn, making sure you never miss a moment of the action. 🎯 What's so cool about SAM2? - Tracking the Stars: SAM2 is like a detective that never loses track of the players, even when they hide behind something or zoom out of the screen! - Magic Memory: Think of SAM2 as having a super brain that remembers everything it sees. This memory helps it keep track of the action and makes sure you get the best view every time. - Multiple Masks: SAM2 is like an artist with many paintbrushes, offering different ways to highlight the important parts of a video, even when it's tricky to see what's happening. - Hide and Seek Champion: SAM2 is a pro at guessing where players are, even when they briefly disappear from the screen. 🛠️ The Tech Behind the Magic: - PyTorch is like the brain behind SAM2, helping it learn and get smarter with every video. - OpenCV and hashtag #Supervision are like the artists that draw cool graphics, making the video look awesome. - hashtag #ByteTrack is the super-fast detective that keeps up with all the players. - Python Coding is the secret code that makes everything work smoothly! SAM2 isn’t just a tool, it’s a game-changer for sports video analysis, helping fans dive deeper into the game and enjoy every detail. Check out the video and see how SAM2 brings Vinesh Phogat’s match to life and can we used to add more analytic on top of it. International Olympic Committee – IOC Want to see more cool tech like this? Hit the follow button and share this post with your friends! Let’s make sports even more awesome together! 🙌

Phantom Data: A New Tool for Copyright Holders to Detect AI Training Usage Exciting news for the tech industry! Introducing Phantom Data, a cutting-edge tool designed to assist copyright holders in detecting AI training usage. This innovative solution aligns with ongoing efforts to ensure transparency in AI and protect digital rights. #AI #GenerativeAI #MachineLearning #LLMs #CopyrightProtection #AITrainingData #TechInnovation #DigitalRights #TransparencyInAI #AIResearch #ImperialCollegeLondon #ContentCreators #FairCompensation #ResponsibleAI #AIethics

In the competitive world of professional soccer, teams are always on the lookout for innovative ways to gain an edge. One groundbreaking innovation is the use of advanced computer vision to analyze game footage. This case study delves into the development of a "Bird's Eye View" system for soccer game analysis by a team of computer vision researchers and sports analysts. The Challenge: How do you turn 2D video footage of soccer games into a near-3D experience that gives coaches a top-down view of the field? This new perspective helps assess player positioning, team formations, and overall game strategy. The main hurdles included: 1. Accurately detecting and tracking players and the ball 2. Differentiating between teams based on jersey colors 3. Transforming the perspective to create a top-down view 4. Processing video in real-time or near-real-time The Solution: Our team crafted a multi-step pipeline to achieve the Bird's Eye View: 1. Object Detection: We used YOLOv5, a top-tier object detection algorithm, trained on a custom dataset to spot players and the ball. 2. Tracking: Implemented Deep SORT for real-time tracking of players across frames, ensuring each player has a unique ID. 3. Color Detection: K-means clustering was applied to identify jersey colors, which helped distinguish teams. 4. Perspective Transformation: A homography matrix transformed the detected coordinates from the camera view to a top-down perspective. Implementation Details Object Detection: Custom-trained YOLOv5 on a soccer-specific dataset - Classes: 'player' "referee" and 'ball' Tracking - Deep SORT algorithm for consistent player identification across frames Color Detection - K-means clustering on player bounding boxes - Adjusted for the dominant green color of the field - Mapped detected colors to a predefined palette for consistency Perspective Transformation - Homography matrix to shift coordinates - Formula: [x', y', w'] = [x, y, 1] * M, with M as the perspective matrix Accuracy Achieved 80% Right Now. Tech Stack Python: DeepSort, YOLOv5 System: i5 9th gen, 24 GB RAM, 6 GB Geforce 1660 Ti Credit for Video: Harsh Vavaiya 👨💻