4 results about "Maturity assessment" patented technology

A vision system and method for a pine cone harvesting platform, belonging to the field of intelligent forestry equipment, addresses the problems of low target recognition accuracy, difficulty in maturity assessment, and insufficient harvesting positioning precision in existing drone harvesting systems operating in complex forest environments. The system includes a vision processing unit, a wide-angle gimbal camera, a LiDAR, and a hand-eye camera. The wide-angle gimbal camera acquires distant visual images. The vision processing unit uses a priori information-guided detection method to identify pine cone targets and combines LiDAR point cloud data to plan the platform's motion path. The hand-eye camera, mounted at the end of a robotic arm, acquires near-field images and depth information after the platform reaches the target area. The vision processing unit uses an attention-weighted mechanism to fuse color, size, and scale flipping angle features to determine maturity, locate the strike point, and control the harvesting actuator to complete the operation. This invention achieves high-precision identification and positioning of pine cone targets through two-stage visual collaboration and multi-dimensional feature fusion.

This application relates to the field of intelligent assessment technology, and discloses an assessment method for enterprise intelligent maturity, comprising: collecting multi-dimensional indicator data reflecting enterprise intelligent maturity through a data acquisition platform; determining the quantitative score corresponding to the indicator data; using the analytic hierarchy process (AHP) to determine the weight vector of the indicator data under each dimension; and using the quantitative score and weight vector to generate a comprehensive assessment score of enterprise intelligent maturity through weighted calculation; mapping the comprehensive assessment score to a preset maturity level range to determine the enterprise's intelligent maturity level; and generating a technical analysis report based on the intelligent maturity level and indicator data. The technical solution of this application constitutes an objective and quantifiable closed loop for enterprise intelligent maturity assessment, significantly improving the accuracy of the assessment results. This application also discloses an intelligent assessment system and electronic device.

This invention relates to the fields of artificial intelligence and machine learning technology, and discloses a machine learning-based method for assessing enterprise marketing maturity. The method includes: acquiring multi-dimensional marketing data from the enterprise; separating a general marketing capability representation vector and an industry-specific context vector through a feature-decoupled neural network; generating a preliminary score using a pre-trained general model; dynamically calibrating the score using modulation parameters generated by a lightweight industry adapter; and outputting the final assessment result. This invention, through feature decoupling and modular adaptation mechanisms, significantly improves cross-industry generalization ability while ensuring assessment accuracy, and reduces model maintenance and expansion costs.