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Efficiency at the edge: Counting potatoes with a single frame. 🥔🤖
Engineer Viet Nguyen has demonstrated that solving real-world industrial problems doesn't always require massive datasets. By using YOLO11 nano the smallest variant of the YOLO family and Meta’s SAM 2, he transformed a single annotated video frame into a functional real-time counting system. Using SAM 2 to generate segmentation masks for training labels, the setup utilizes Ultralytics ObjectCounter to track items across a conveyor belt in real-time.
The Engineering Debate: When deploying vision at the edge, do you prioritize higher FPS with a smaller model like YOLO11 nano, or do you prefer a larger model to handle lighting and background variables? 👇
#ComputerVision #AI #Manufacturing #YOLO11 #EdgeComputing #Automation #Innovation #CTORobotics
Engineer Viet Nguyen has demonstrated that solving real-world industrial problems doesn't always require massive datasets. By using YOLO11 nano the smallest variant of the YOLO family and Meta’s SAM 2, he transformed a single annotated video frame into a functional real-time counting system. Using SAM 2 to generate segmentation masks for training labels, the setup utilizes Ultralytics ObjectCounter to track items across a conveyor belt in real-time.
The Engineering Debate: When deploying vision at the edge, do you prioritize higher FPS with a smaller model like YOLO11 nano, or do you prefer a larger model to handle lighting and background variables? 👇
#ComputerVision #AI #Manufacturing #YOLO11 #EdgeComputing #Automation #Innovation #CTORobotics
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Outsmarting a security robot is easier than you think.
A Daxbot security robot rolls up: “You are trespassing.”
Seconds later, a man steps into its blind spot and the robot completely loses him.
Despite LiDAR and 360° cameras, close-range and low-angle blind zones still exist.
And when tracking breaks, reacquisition logic isn’t always instant.
Smart hardware doesn’t guarantee robust perception.
Would you trust autonomous patrol robots to secure real public spaces today?
🎥 Video Credit : @that_azst_dude ( Instagram )
⚠️ This video is shared for educational and informational purposes only. It does not contain any sponsored deals, advertising, or commercial intent. Credit to the original creator. All rights belong to the respective brand. If you are the owner and wish to have it removed or credited differently, please contact us.
#Robotics #AI #AutonomousSystems #SecurityTech #ComputerVision
A Daxbot security robot rolls up: “You are trespassing.”
Seconds later, a man steps into its blind spot and the robot completely loses him.
Despite LiDAR and 360° cameras, close-range and low-angle blind zones still exist.
And when tracking breaks, reacquisition logic isn’t always instant.
Smart hardware doesn’t guarantee robust perception.
Would you trust autonomous patrol robots to secure real public spaces today?
🎥 Video Credit : @that_azst_dude ( Instagram )
⚠️ This video is shared for educational and informational purposes only. It does not contain any sponsored deals, advertising, or commercial intent. Credit to the original creator. All rights belong to the respective brand. If you are the owner and wish to have it removed or credited differently, please contact us.
#Robotics #AI #AutonomousSystems #SecurityTech #ComputerVision
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This looks like an ordinary video. A kid on a sidewalk. Nothing special.
But AI can analyze tiny background details trees, rooftops, shadows, road lines and match them with satellite imagery to pinpoint the exact location.
That’s what GeoSpy demonstrated by geolocating an old Vine clip using only visual clues.
No GPS. No metadata. Your surroundings are data now.
⚠️ This video is shared for educational and informational purposes only. It does not contain any sponsored deals, advertising, or commercial intent. Credit to the original creator. All rights belong to the respective brand. If you are the owner and wish to have it removed or credited differently, please contact us.
#AI #ArtificialIntelligence #ComputerVision #Privacy #TechNews
But AI can analyze tiny background details trees, rooftops, shadows, road lines and match them with satellite imagery to pinpoint the exact location.
That’s what GeoSpy demonstrated by geolocating an old Vine clip using only visual clues.
No GPS. No metadata. Your surroundings are data now.
⚠️ This video is shared for educational and informational purposes only. It does not contain any sponsored deals, advertising, or commercial intent. Credit to the original creator. All rights belong to the respective brand. If you are the owner and wish to have it removed or credited differently, please contact us.
#AI #ArtificialIntelligence #ComputerVision #Privacy #TechNews