Abstract: A system and a method for picking and placing objects, includes capturing at least one first image of the object at a first time point and at least one second image at a second time point; identifying the object in the first image and the second image, obtaining first position information, second position information, and object attribute of the object; based on the first position information, the second position information, the first time point, and the second time point, calculating a moving speed of the object; based on the object attribute, determining whether the object is a target object; if so, calculating a target position and a target time point of the target object based on the first and second position information and the moving speed; controlling a target machine arm to move at or to the target position at the target time point to pick the target object.

Abstract: A system and a method for picking and placing objects, includes capturing at least one first image of at least one object at a first time point and at least one second image at a second time point; identifying the object in the first image and the second image; and obtaining first position information and second position information of the object; based on the first position information, the second position information, the first time point, and the second time point, calculating a moving speed of the object; calculating a target position and a target time point of the object based on the first position information, the second position information, and the moving speed; and controlling the machine arm to move at or to the target position at the target time point to pick the object.

Abstract: A method for identifying objects by shape in close proximity to other objects of different shapes obtains point cloud information of multiple objects. The objects are arranged in at least two trays and the trays are stacked. A depth image of the objects is obtained according to the point cloud information, and the depth image of the objects is separated and layered to obtain a layer information of all the objects. An object identification system also disclosed. Three-dimensional machine vision is utilized in identifying the objects, improving the accuracy of object identification, and enabling the mechanical arm to accurately grasp the required object.