Dynamic Tracking System for Crane hooks
In the process of hook operation, the crane driver's vision is limited and cannot observe the running status of the hook in real time, which can easily increase the possibility of operational risks. Our product is the first solution in the industry that uses AI algorithms to achieve crane hook tracking and crane stability confirmation.
Features
PRODUCT
  • Spreader intelligent tracking
    Spreader intelligent tracking
    The smart dome is installed on both sides of crane bridge, and the video screen is always centered on the spreader area. When the crane is in motion, the dome automatically zooms to show a wide field of view to provide information about the environment around the hook.
  • Hook lifting stability confirmation
    Hook lifting stability confirmation
    The screen clearly presents the position status of hooks and lugs, and makes basic status judgments through the hook stability confirmation algorithm for driver to use as a reference for decision making.
  • Full-scene monitoring
    Full-scene monitoring
    Intelligent camera can automatically rotate to provide the best observation view; write stabilization module to prevent screen shaking and ensure stable observation; low latency, real-time video; high definition screen; layout can be customized.
  • Abnormal scene hook recognition
    Abnormal scene hook recognition
    For special phenomena such as flame and smoke, as well as screen highlighting, the hook can still be tracked and identified to ensure production safety.
  • Program expansion on demand
    Program expansion on demand
    According to the user's specific scene needs, it can be extended to ground-mounted cameras to assist in determining whether the hook is hung steadily to ensure safe and efficient production.
APPLICATION
Case Study
Customer Challenge
The smelting plant area is often used for heavy ladle transfer operations, with high operating heights and large crane loads, and it is often difficult for the crane operator to clearly observe the hook below.
Customer Challenge
Solution
INTELLICRANE industrial vision team combined with computer vision technology - deep learning algorithm, for the crane hook operation during the blind field of vision and potential operational risk of the industry pain points, developed a hook visual tracking assistance system, dynamic tracking the entire process of crane hook operation.
Solution