Detecting Faulty and Missing Laptop Components

Optimizing laptop assembly processes with AI

Assembly and product quality

Laptop components in the assembly and packaging process are often matched and handled manually. As the top and bottom casings are assembled and the laptop is vertically screwed together, having missing parts will directly affect the final product quality. Malfunctioning products that reach sales channels are also more than capable of damaging the manufacturer’s reputation.

Human error in assembly processes

Occasionally, human error occurs during assembly of the final product, for instance loose screws or disconnected components. For repetitive manual tasks such as in this case, automated visual inspection can help identify defective products and improve workforce efficiency.

Improving yield and efficiency with SolVision

Powered by AI, SolVision first locates screws and electronic components using image analysis, then conducts preliminary recognition and classification of the different parts. The AI model is then trained to quickly identify the completeness of the assembly process. As the system validates more images over time, this allows continuous optimization of the detection process, effectively improving yield and quality of laptop assembly processes. 

AI Inspection

Golden Sample

Detecting Faulty and Missing Laptop Components
Golden Sample

Misaligned Latch

Detecting Faulty and Missing Laptop Components
Misaligned Latch

Missing Component

Detecting Faulty and Missing Laptop Components
Missing Component
More Case
  • a close-up of a machine

    AI Laser Welding Defect Detection

    As welding positions and patterns are ever-changing, the number of possible variations makes it challenging for AOI systems to recognize welding weave patterns or locate missed welding spots and other production errors.
  • green laser beams

    Vision Guided Robotics for Laser Marking Applications

    SolMotion offers precise and continuous laser marking with AI-based 3D scanning technology, enabling real-time part positioning for robots to identify and mark objects accurately.
  • Close-up Photography of a Power Tool

    AI Inspection of Stamped Metal Parts

    There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
  • Loading and Unloading Tanker Trucks Safely Using AR + AI

    META-aivi uses AI detection to perform a step-by-step inspection of the chemical tanker loading/unloading process to ensure the operator is following the correct procedure.