Packaging Defect Detection Solution
for Corrugated Boxes and Folding Cartons
Packaging Industry is Facing Losses Due to
inefficient Quality Checks
Customer Dissatisfaction
Defective packaging leads to increased complaints and returns, negatively impacting customer satisfaction.
Product Recall and Return
Recalls due to defective packaging are costly, impacting both revenue and brand reputation.
Regulatory Non-compliance
Failure to meet regulatory standards can restrict market access and limit business opportunities.
Enter PackAVIS
Inspect packages in minutes instead of hours
PackAVIS is an AI-powered mobile solution designed for the automated visual inspection of packaging, specifically corrugated boxes and folding cartons. It aims to enhance the efficiency and accuracy of detecting packaging defects, offering significant advantages over traditional manual inspection methods.
How PackAVIS Simplifies Packaging Defect Detection
Currently, manual inspections involve several steps including learning customer specifications, inspecting parts, recording data, and summarizing reports, which can be time-consuming and prone to inconsistencies.
PackAVIS simplifies the process by scanning images using a mobile phone, instantly identifying defects, saving data automatically, and generating reports and alerts in real-time.
Overall, PackAVIS offers a fast, accurate, and convenient solution for packaging defect detection, leveraging AI to streamline the inspection process and enhance productivity.
How Does PackAVIS Work?
PackAVIS has three modules to inspect packages and
analyze defect trends from anywhere
Inspect Boxes
Mobile inspection system capable of identifying customer-specific defects with flexible inspection distances.
Generate Reports
Produces standard and custom reports, including defect trend analysis. Get insights on quality inspection.
Add New Defects
Allows users to add, edit, or delete defects, incorporating built-in ASTM and TAPPI inspection standards.
Automating Defect Detection for
Leading Global Clients
Damaged Blister Packs in Pharmaceutical Packaging
AI-driven vision system to detect damaged blister packs. High-resolution cameras inspected each pack, and the AI model identified and rejected defective packs.
Misaligned Labels in Food Packaging
Automated vision system using machine learning to detect misaligned labels in real time. The system flagged any misalignments in the captured images for immediate correction.
Defects in E-commerce Packaging
Monitored packages with real-time image analysis to detect defects. Flagged defective packages for removal and re-inspection, ensuring only defect-free ones proceeded further in processing and delivery.