The feeding and positioning system is a critical link affecting the production efficiency and product quality of blister folding machines. Its performance directly determines the equipment's automation level and processing accuracy. The feeding and positioning systems of modern blister folding machines have evolved from simple manual operation to fully automatic intelligent systems, forming various technical solutions to meet different application needs.

The technological evolution of feeding systems has gone through four stages: manual feeding, semi-automatic feeding, fully automatic feeding, and intelligent feeding. Manual feeding is the most primitive method, where operators manually place blister products into the mold. It has low efficiency (5-10 pieces per minute), and positioning accuracy depends on the operator's skill, making it suitable only for small-batch production. Semi-automatic feeding employs simple mechanical mechanisms, such as push-plate feeders or rotary table feeders, to deliver blister products near the mold. It still requires manual assistance for positioning, and the efficiency improvement is limited (15-25 pieces per minute).

Fully automatic feeding systems achieve unmanned operation. Main technical solutions include: Conveyor belt feeding, which uses belts or chains to transport blister products, detects their presence with photoelectric sensors, and uses a stopping mechanism for precise positioning. It is suitable for regularly shaped products. Vibratory bowl feeding uses vibration to arrange randomly oriented blister products into a uniform orientation, suitable for small, high-volume products. Robotic feeding uses articulated robots or gantry robots to pick up blister products, offering high flexibility to adapt to various shapes and sizes, with easy changeover.

Intelligent feeding systems represent the highest current level, integrating vision recognition and intelligent control technologies. A vision recognition system uses industrial cameras to capture images of blister products, identifying their position and orientation to guide the robot for precise picking. Multi-sensor fusion incorporates photoelectric sensors, proximity switches, force sensors, vision sensors, etc., for comprehensive perception. Path planning algorithms automatically calculate the optimal picking path based on the product's position and pick-up point, improving efficiency and safety. Intelligent feeding systems can handle multiple blister products of different shapes, with changeover times of only a few minutes.

The accuracy of the positioning system directly impacts folding quality. Mechanical positioning is the most basic method, using mechanical structures like locating pins, positioning slots, or stops that engage with locating holes or edges on the blister product. Its advantages are simple structure and high reliability; disadvantages are the need for dedicated positioning features on the product and susceptibility to wear. Mechanical positioning accuracy typically ranges from ±0.2 to 0.5mm.

Pneumatic positioning uses airflow to push the blister product against a reference surface, suitable for lightweight products with smooth surfaces. It avoids contact and potential scratches but provides lower positioning force, and accuracy (typically ±0.3-0.8mm) is affected by product weight and surface condition. Vacuum adsorption positioning uses suction cups to hold the blister product onto a positioning table. It is reliable and suitable for products of various shapes, achieving accuracy of ±0.1-0.3mm.

Vision positioning is currently the most accurate method. The system uses industrial cameras to capture images of the blister product. Image processing algorithms identify feature points (e.g., edges, corners, holes) on the product, calculate the deviation between the actual and theoretical positions, and transmit this deviation data to the control system for compensation. Vision positioning accuracy can reach ±0.05-0.1mm. It does not require dedicated positioning features on the product and imposes no restrictions on product shape. Modern vision positioning systems use high-speed cameras (frame rates up to 200 fps) and GPU-accelerated processing, achieving positioning times within 0.1 seconds.

Comprehensive application of positioning systems often combines multiple technologies. A coarse positioning stage, using mechanical or pneumatic methods, roughly positions the blister product. A fine positioning stage, using vision or high-precision mechanical methods, achieves final positioning. This two-stage approach balances speed and accuracy and is a common feature in high-end equipment. Positioning systems must also consider the characteristics of different materials, such as specialized lighting for transparent materials in vision positioning, and controlling deformation for flexible materials.

Synchronization control with upstream and downstream equipment is crucial for ensuring positioning accuracy. The feeding system must synchronize with the folding machine's cycle to deliver products to the correct position at the right time. The positioning system coordinates with the robot to ensure precise picking and placing actions. A closed loop between the vision system and the motion control system enables dynamic compensation. Communication protocols utilize industrial Ethernet to ensure real-time performance.

Future feeding and positioning systems will trend towards higher speed, greater accuracy, and enhanced adaptability. Ultra-high-speed vision systems with frame rates exceeding 1000 fps will capture blister products in high-speed motion. Deep learning algorithms for image processing will improve recognition accuracy and adaptability, handling products with complex shapes and surface finishes. Flexible gripping technologies using adaptive grippers or soft robots will accommodate various product shapes without tool changes. Intelligent path planning will optimize robot trajectories in real-time, avoiding obstacles and shortening movement times.