YOLOvX

Tap & Track: Real-Time Individual Tracking 🎯 A tracking system that transforms how we monitor people in complex environments! 🌐 With simple mouse controls, this solution enables precise, real-time individual tracking using unique color-coded identification—even in the most crowded scenes. Use Cases: 🏟 Crowd Management: Ensuring safety at large events 🚓 Public Safety: Enhancing law enforcement surveillance 🏢 Workplace Protection: Preventing accidents in high-risk zones 🛍 Retail Intelligence: Optimizing customer experience strategies Awesome work by: Muhammad Yahya 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel G Bharath Kumar #Innovation #Technology #AI #YOLOvX #Tracking #PublicSafety #TechSolution

🚀 Speed Up Video Processing: Object Detection Optimization Transforming waste sorting with an intelligent AI system using smart subprocess tracking and threading approach that boosts FPS from 31 to 47! Key Optimization Strategies: - Subprocess tracking on dedicated CPU cores - Thread-safe frame writing - Multiprocessing queue for seamless data transfer Performance: By isolating tracking logic and decoupling I/O operations, created a high-performance video processing pipeline that: - Minimizes computational interference - Maximizes resource utilization - Increases processing speed by 51.6% The Results Speaks? 🔹 Old Method: Avg 31 FPS 🔹 Optimized Method: Avg 47 FPS Awesome work by: Dragos Stan 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel G Bharath Kumar #AI #YOLOvX #WasteManagement #ComputerVision #Performance #Optimization #MachineLearning

🚗 Parking Management with AI Computer Vision! 🌐 A parking solution that transforms urban mobility management. AI-powered system uses bird's-eye view to: • Instantly calculate total parking space availability • Provide real-time occupancy percentages • Detect and count parked vehicles with high accuracy 🏙️ Use Cases: • Shopping Malls • Airports • Universities • Hospitals • Corporate Campuses Awesome work by: Jorge Albert Mora 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel G Bharath Kumar #AI #YOLOvX #Innovation #SmartCities #ParkingTechnology #UrbanSolutions #ComputerVision

🚗 License Plate Recognition with AI 🚀 A project demonstrating License Plate Recognition (LPR). This isn't just tech talk - it's a real-world solution reshaping how we manage traffic and urban infrastructure. Key Highlights: - Leveraged YOLO for precise vehicle and plate detection - Implemented OCR using EasyOCR for seamless plate reading AI-powered LPR systems can: - Monitor traffic flow in real-time - Instantly identify traffic violations - Provide rapid incident response - Enhance urban safety and efficiency This technology is already widespread in Europe and rapidly expanding globally. We're not just talking about cool tech - we're talking about smarter, safer cities. Awesome work by: Gabriel Murilo C. 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel Bharath kumar #AI #YOLOvX #Technology #SmartCities #ComputerVision #TrafficManagement #Innovation

🚀 Quality Control with AI🍊🤖 Sorting fruits in real-time using just one camera! 🍊✨ 🔍 Test Bench: A single camera setup assesses oranges as they pass by. 🧠 YOLOv10-Powered Analysis: Trained to evaluate size, color, and defects frame-by-frame. 🎯 Smart Decisions: Integrated predictions from each frame for a final quality ranking. The result? A faster, smarter, and scalable approach to quality control.💡 Awesome work by: Jose Carlos Rios Parquet 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel Bharath kumar #ComputerVision #AI #YOLOvX #QualityControl #YOLO #Innovation

🚦 Traffic Management: Insights from Computer Vision 🚗 Highways face challenges like 🚙 traffic congestion, 🚨 accidents, and ⚠️ inefficient management, causing delays and safety risks. By leveraging 📸 computer vision to detect vehicles, calculate speeds, and track trajectories—using a scale factor to convert pixel data into real-world speeds—these challenges can be addressed effectively. This technology enables ✨ 🚥 Smart traffic control systems 🔮 Accident prediction and reduction 🛣️ Optimized road infrastructure planning 🕒 Adaptive traffic light timing Use Cases 🌟 📊 Real-time Traffic Monitoring: Identify bottlenecks and adjust flow dynamically. 🛑 Accident Prevention: Predict hazardous behavior with trajectory analysis. 🛠️ Infrastructure Planning: Analyze patterns for better road design. 🚑 Emergency Response: Detect incidents quickly and dispatch aid efficiently. Driving innovation for safer, smarter highways! 🚦 Awesome work by: Cristóbal Tomás González Carrasco 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel Bharath kumar #ComputerVision #TrafficManagement #SmartCities #Innovation #YOLOvX

📸 Efficient Track Anything! 🚀 Meta's EfficientTAMs - a game-changing approach to image segmentation and tracking that's redefining efficiency and performance. Key highlights: • ~20x speedup compared to Segment Anything Model (SAM) • Dramatic 20x parameter reduction • Mobile-ready: Runs at 10 FPS on #iPhone 15 Pro Max • Enables real-time video object segmentation with impressive quality Check out this video to see it in Action! Awesome work by: Yunyang Xiong, Chong Zhou, Xiao-Yu Xiang, Lemeng Wu, Chenchen Zhu, Zechun Liu, Saksham Suri, Bala Varadarajan, Ramya Krishna Akula, Forrest Iandola, Raghuraman Krishnamoorthi, Bilge Basakcioglu Soran, PhD, Vikas Chandra @Meta 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel Bharath kumar #ComputerVision #MachineLearning #AI #Meta #YOLOvX #Research #Tech #Innovation

🚀 Pose Detection for Angle Measurement 📐 Using pose estimation for rectangular objects instead of traditional oriented bounding boxes. 🔍 It leverages: - YOLO Pose models 🤖 - SAM2 for object boundary detection (Auto-Annotation) 🖼️ - Precise keypoint identification 📌 The result? Accurate rotation angle calculations that can be useful in manufacturing, robotics, and quality control.💡 More Use Cases: 🌟 ✅ Automated assembly line inspections 🏭 ✅ Robotic pick-and-place operations 🤖 ✅ Dimensional accuracy in industrial processes 📏 Watch the full video demonstration to see this innovation in action! 🎥 Awesome work by: Dragos Stan 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Harpreet Sahota 🥑 Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel Bharath kumar #ComputerVision #MachineLearning #AI #YOLOvX #Innovation #ObjectDetection #Technology

🎥 Object Detection with GoPro Action Cameras! 🚀 Object detection YOLOvX using GoPro cameras. By using SOTA algorithms, we can transform these rugged action cameras into intelligent perception systems capable of real-time tracking and identification. 🌟 Use Cases: ✅ Autonomous Drone Navigation: Enhanced object recognition for precision flight ✅ Dashcam Safety: Automatically detect and alert drivers to potential road hazards like pedestrians, cyclists, unexpected obstacles, and approaching emergency vehicles ✅ Sports Performance Analysis: Track athlete movements, detect technique variations ✅ Wildlife Research: Monitor animal behavior in natural habitats ✅ Search and Rescue: Detect human figures in complex terrain ✅ Industrial Safety: Identify potential workplace hazards in real-time Video Courtesy: YT @travelwithsupercub 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Harpreet Sahota 🥑 Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel Bharath kumar #ComputerVision #AI #YOLOvX #MachineLearning #ObjectDetection #Tech #Innovation #GoPro

🚀 Multiple Object Tracking in Complex Scenarios: SambaMOTR Traditional tracking methods fall short when dealing with complex, interconnected group movements. How do we accurately track objects that move in synchronized, strategic patterns? Imagine losing track of dancers mid-performance, missing crucial player interactions in sports, or failing to capture the mesmerizing flow of bird flocks. Current tracking technologies often break down in dynamic, crowded scenarios. SambaMOTR – An Optimal Tracking Approach: • Captures intricate dynamics of collective motion • Maintains tracking through occlusions and rapid movements • Excels in complex datasets like DanceTrack, SportsMOT, and Bird Flock Tracking. Awesome work by: Mattia Segù, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool 🔔 Stay tuned for more exciting developments and breakthroughs on the horizon! ✨ WISERLI YOLOvX OpenCV Ultralytics Roboflow Dr. Chandrakant Bothe Rohan Gupta Vishnu Mate Mohit Raj Sinha Prateeksha Tripathy P Shreyas Sinem Çelik Anu Bothe Saurabh Tople Glenn Jocher Muhammad Rizwan Munawar Nicolai Nielsen Harpreet Sahota 🥑 Florian Palatini Ritesh Kanjee Piotr Skalski Dragos Stan Arnaud Bastide Nicholas Nouri Timothy Goebel Bharath kumar #MachineLearning #ComputerVision #AI #YOLOvX #Innovation #Tracking #Technology