From above of assorted plastic cups with coffee chaotically scattered on top on beige surface

SolVisionCase Study

Product Packaging Sequence Detection Using AI

Case

Efficiency and Precision in Coffee Capsule Packaging

Coffee capsule machines have gained popularity in recent years. These machines offer a range of coffee beans in disposable capsules, distinguished by color to signify their origin, flavor, and coffee type. Each capsule is typically assigned a specific position in the segmented packaging box, with proper placement serving as an indicator of both product aesthetics and production quality.

Challenge

Overcoming Color Recognition Issues in Metal Packaging

Due to the abundant diversity of coffee capsules, a significant number share similar colors that can be challenging for the human eye to discern. These capsules are typically enclosed in metal-based packaging, leading to issues with light reflection during image recognition. Conventional rule-based vision systems necessitate specific lighting sources, lenses, and sensors to identify the subtle color distinctions of coffee capsules. However, these traditional inspection methods prove inefficient when confronted with reflective materials.

Solution

Precision AI Inspection with SolVision

SolVision enhances the automated inspection of coffee capsule placement in boxes. This system empowers artificial intelligence to grasp both the accurate and irregular sequences of capsule placement. By learning from diverse images of various coffee capsules, the AI can swiftly identify and flag incorrectly positioned capsules in a single detection. Moreover, AI image recognition provides advanced capabilities, overcoming challenges posed by highly reflective coffee capsules and subtle color differences, thereby ensuring high detection accuracy.

Presence/Absence

Coffee capsule testing case

Missing Capsule

Coffee capsule testing case

Incorrect Sequence

Outcome

SolVision effectively addresses color recognition issues in packaging that has reflective metal surfaces, enhancing inspection accuracy.
SolVision enables precise identification of capsule sequences, overcoming the limitations of traditional inspection methods.
Advanced AI ensures high detection accuracy by enabling the system to recognize reflective materials and subtle color differences.
Related Posts
  • Visual Inspection of Semiconductor Carrier Trays

    Automated defect detection with artificial intelligence. Visual Inspection of Semiconductor Carrier Trays.
  • Egg Quality Inspection and Classification

    SolVision recognizes defects and categorizes eggs, enabling automated AI inspection on a fast moving production line for better food safety and quality control.
  • Deep Learning Inspection of Liquid Biotech Medicines

    SolVision’s deep learning facilitates the recognition of varying colored liquids and sedimentation levels for accurate classification and quality control
  • robot arms controlled by VGR operating on an automotive production line

    Vision Guided Robotics in Automotive Processes

    Solomon’s VGR solution, Solmotion, uses cutting-edge AI and 3D technologies to assist complex manufacturing operations such as car sealing.