正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

RoadScan-AI-Automated-Pothole-Detection-Tracking RoadScan AI is a computer vision system built to automatically detect and track potholes in road footage — including dashcam, drone, and fixed-camera video. At its core, the system uses a YOLO11n model fine-tuned on a custom pothole dataset, paired with ByteTrack for multi-object tracking. This enables the... show more

Ryohei Sasaki@engineer

11,025 subscribers

103,374 次观看 • 2 个月前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Pothole detection on the road in real time using Ultralytics YOLO26! 🕳️ Manual road inspections are slow, costly, and hard to scale. With object detection, potholes can be identified directly from street-level images or video feeds, enabling faster and more consistent road condition monitoring. How I built this demo: ✅ Trained a segmentation model on a custom dataset. ✅ Generated mask contours for each pothole. ✅ Leveraged the onnx-exported model for faster processing. #Pothole #RoadDamage #AI

Pothole detection on the road in real time using Ultralytics YOLO26! 🕳️ Manual road inspections are slow, costly, and hard to scale. With object detection, potholes can be identified directly from street-level images or video feeds, enabling faster and more consistent road condition monitoring. How I built this demo: ✅ Trained a segmentation model on a custom dataset. ✅ Generated mask contours for each pothole. ✅ Leveraged the onnx-exported model for faster processing. #Pothole #RoadDamage #AI

Muhammad Rizwan Munawar

31,105 次观看 • 7 个月前

Football players detection + tracking using Ultralytics YOLO26 ⚽️ It took me 30 minutes to train the YOLO26 model on a custom dataset using Ultralytics Platform. Later, I used the object tracker (Bytetrack) for tracking the players; tracking could be improved further, and I am working on it this week. More info 👇 #soccer #football #MachineLearning

Football players detection + tracking using Ultralytics YOLO26 ⚽️ It took me 30 minutes to train the YOLO26 model on a custom dataset using Ultralytics Platform. Later, I used the object tracker (Bytetrack) for tracking the players; tracking could be improved further, and I am working on it this week. More info 👇 #soccer #football #MachineLearning

Muhammad Rizwan Munawar

42,672 次观看 • 5 个月前

Object detection + tracking + counting using Ultralytics YOLO26 🚀 👉 Object detection tells you what is in a scene. 👉 Tracking follows each object across video frames. 👉 Counting turns those movements into actionable data. YOLO26 delivers fast, accurate detections, while multi-object tracking maintains unique identities across frames. Add configurable counting lines or regions to measure entries, exits, directional movement, and other real-world traffic metrics. #vehicles #MachineLearning #Highway

Object detection + tracking + counting using Ultralytics YOLO26 🚀 👉 Object detection tells you what is in a scene. 👉 Tracking follows each object across video frames. 👉 Counting turns those movements into actionable data. YOLO26 delivers fast, accurate detections, while multi-object tracking maintains unique identities across frames. Add configurable counting lines or regions to measure entries, exits, directional movement, and other real-world traffic metrics. #vehicles #MachineLearning #Highway

Muhammad Rizwan Munawar

16,069 次观看 • 3 个月前

built a custom video-gen pipeline for drones for making a custom low latency drone detection + tracking + future trajectory prediction pipeline with 3D reconstruction. based on modern stack involving Roboflow and Ultralytics for custom data pipeline and model building and Rerun for visualisation...

built a custom video-gen pipeline for drones for making a custom low latency drone detection + tracking + future trajectory prediction pipeline with 3D reconstruction. based on modern stack involving Roboflow and Ultralytics for custom data pipeline and model building and Rerun for visualisation...

ud

15,577 次观看 • 9 个月前

App Showcase!✨ Introducing Tower Stack—A 3D arcade game crafted with Alchemist AI, Tower Stack showcases our platform’s ability to combine advanced generation capabilities with essential game mechanics for a polished and engaging experience. • Physics-Based Gameplay: Advanced physics simulations, including collision detection and object dynamics drive every block's movement and placement. • Dynamic Camera Movement: A responsive camera system ensures smooth tracking and adapts fluidly to gameplay, keeping the focus on key actions for an optimized player experience. • Progressive Difficulty: As players progress, stacking speed increases and block variations evolve, creating a scalable challenge. • High Score Tracking: Scores are saved across sessions allowing players to compete and track their achievements.

App Showcase!✨ Introducing Tower Stack—A 3D arcade game crafted with Alchemist AI, Tower Stack showcases our platform’s ability to combine advanced generation capabilities with essential game mechanics for a polished and engaging experience. • Physics-Based Gameplay: Advanced physics simulations, including collision detection and object dynamics drive every block's movement and placement. • Dynamic Camera Movement: A responsive camera system ensures smooth tracking and adapts fluidly to gameplay, keeping the focus on key actions for an optimized player experience. • Progressive Difficulty: As players progress, stacking speed increases and block variations evolve, creating a scalable challenge. • High Score Tracking: Scores are saved across sessions allowing players to compete and track their achievements.

ALCHEMIST AI 🔮

23,127 次观看 • 1 年前

Object Detection + Tracking (ID + Trails) using YOLOv8 on custom dataset. Github Repo: Youtube Video Tutorial:

Object Detection + Tracking (ID + Trails) using YOLOv8 on custom dataset. Github Repo: Youtube Video Tutorial:

Lior Alexander

114,248 次观看 • 3 年前

The future of agriculture lies in optimization. A system like this costs very little: a drone with a camera and a computer vision system accurate enough to count and identify plants or diseases. It's so easy that anyone can make it at home for their own crops.

The future of agriculture lies in optimization. A system like this costs very little: a drone with a camera and a computer vision system accurate enough to count and identify plants or diseases. It's so easy that anyone can make it at home for their own crops.

Marco Franzon

120,683 次观看 • 5 个月前

In Germany, after more than four years of war in Europe and daily Russian spy drones, the current debate is about who is responsible for countering drones: the police, the army, gardeners, caretakers, or no one. Meanwhile in China: China has developed a new acoustic-optical system for countering UAVs. The Chinese company Beijing Ribri Technology has unveiled an integrated drone defense system. The system operates using a multi-stage algorithm: acoustic sensors detect the sound of an approaching drone, artificial intelligence recognizes and identifies the target, and thermal imaging cameras and laser rangefinders determine the precise coordinates and lock onto the object for continued tracking. Once the object is acquired, the system initiates targeted jamming, causing the drone to lose control and either make a forced landing or crash to the ground.

In Germany, after more than four years of war in Europe and daily Russian spy drones, the current debate is about who is responsible for countering drones: the police, the army, gardeners, caretakers, or no one. Meanwhile in China: China has developed a new acoustic-optical system for countering UAVs. The Chinese company Beijing Ribri Technology has unveiled an integrated drone defense system. The system operates using a multi-stage algorithm: acoustic sensors detect the sound of an approaching drone, artificial intelligence recognizes and identifies the target, and thermal imaging cameras and laser rangefinders determine the precise coordinates and lock onto the object for continued tracking. Once the object is acquired, the system initiates targeted jamming, causing the drone to lose control and either make a forced landing or crash to the ground.

Jürgen Nauditt 🇩🇪🇺🇦

45,624 次观看 • 2 个月前

Full tennis match analysis system all running on computer vision with a single camera: -Automatic hit + bounce detection -Forehand/backhand/volley classification -Player pose estimation -Court homography The future of sports analytics is automated 🎾🏓

Full tennis match analysis system all running on computer vision with a single camera: -Automatic hit + bounce detection -Forehand/backhand/volley classification -Player pose estimation -Court homography The future of sports analytics is automated 🎾🏓

mirrash.eth 🦇🔊

185,112 次观看 • 6 个月前

Finally... A Tracking system that is similar to Vbridger for 3D vtuber Luwke developed this Vbridger-adjacent system for 3D Vtuber and taught me It shares the same principles of Vbridger, which allow for a more custom look and get even closer to its 2D counterpart #ShylilyArt

Finally... A Tracking system that is similar to Vbridger for 3D vtuber Luwke developed this Vbridger-adjacent system for 3D Vtuber and taught me It shares the same principles of Vbridger, which allow for a more custom look and get even closer to its 2D counterpart #ShylilyArt

Azor Phasecrown • 3D Modeller • Comm Open

47,286 次观看 • 5 个月前

A guy from China just built a system that reshapes thousands of glowing particles into a jellyfish, a dragon, a statue, and a samurai. Just by moving his hands in front of a camera. Just a webcam reading his hand position. Every particle recalculates in real time. 60 frames per second. Not pre-rendered. Not a recording. Live. Clench both fists and the entire thing collapses into nothing. The whole setup runs on a regular camera and a GPU particle system. No special hardware. This is where hand tracking, computer vision, and real-time graphics have gotten. And most people haven't noticed.

A guy from China just built a system that reshapes thousands of glowing particles into a jellyfish, a dragon, a statue, and a samurai. Just by moving his hands in front of a camera. Just a webcam reading his hand position. Every particle recalculates in real time. 60 frames per second. Not pre-rendered. Not a recording. Live. Clench both fists and the entire thing collapses into nothing. The whole setup runs on a regular camera and a GPU particle system. No special hardware. This is where hand tracking, computer vision, and real-time graphics have gotten. And most people haven't noticed.

Vaibhav Sisinty

18,334 次观看 • 3 个月前

would you watch a stream where I show how to build analytics system like this with supervision? - detection filtering with polygon zones - object tracking - customizable annotators - line zones with in/out counters - per-class counts supervision repo:

would you watch a stream where I show how to build analytics system like this with supervision? - detection filtering with polygon zones - object tracking - customizable annotators - line zones with in/out counters - per-class counts supervision repo:

SkalskiP

89,095 次观看 • 2 年前

Curling stone tracking v1 Olympic Games edition. How I made this first version: - YOLO for real-time stone detection - ByteTrack (Supervision) for consistent object tracking - SciPy for trajectory smoothing - OpenCV + NumPy for annotation, velocity, direction and acceleration visualization The colors indicate whether the stone is : accelerating → green stable → orange decelerating → red

Curling stone tracking v1 Olympic Games edition. How I made this first version: - YOLO for real-time stone detection - ByteTrack (Supervision) for consistent object tracking - SciPy for trajectory smoothing - OpenCV + NumPy for annotation, velocity, direction and acceleration visualization The colors indicate whether the stone is : accelerating → green stable → orange decelerating → red

Marco Franzon

21,382 次观看 • 8 个月前

NEW: Walmart has begun rollout of a new AI-powered visual recognition system for produce lookup at self-checkout stations All you have to do is place a piece of produce on the self checkout. The system will automatically recognize the item and ask you to confirm This system will be expanding to all US stores

NEW: Walmart has begun rollout of a new AI-powered visual recognition system for produce lookup at self-checkout stations All you have to do is place a piece of produce on the self checkout. The system will automatically recognize the item and ask you to confirm This system will be expanding to all US stores

Wall Street Apes

64,671 次观看 • 5 个月前

Core AI: Realtime video image detection, tracking, and segmentation with SAM 3 and RF-DETR. All running on-device. I will share the code in the comments.

Core AI: Realtime video image detection, tracking, and segmentation with SAM 3 and RF-DETR. All running on-device. I will share the code in the comments.

Amos Gyamfi

15,932 次观看 • 4 个月前

pip install trackers trackers v2.1.0 is out; this release adds support for ByteTrack, a fast tracking by detection algorithm focused on stable identities under occlusion. link:

pip install trackers trackers v2.1.0 is out; this release adds support for ByteTrack, a fast tracking by detection algorithm focused on stable identities under occlusion. link:

SkalskiP

121,454 次观看 • 9 个月前

Working on a new tutorial - time in the zone. Detection, tracking, and zones are ready. Time to add timers. GitHub repository:

Working on a new tutorial - time in the zone. Detection, tracking, and zones are ready. Time to add timers. GitHub repository:

SkalskiP

77,229 次观看 • 3 年前