AI Powered vial quality inspection for Pharma

DeepInspect® is an FDA CFR Part 11-compliant AI-powered vial inspection software designed for pharmaceutical manufacturers seeking reliable and automated visual inspection of parenteral vials. It performs 360-degree vial inspection without any orientation requirement and detects critical glass defects such as chips, cracks, scratches, and delamination, ensuring container integrity. DeepInspect also identifies foreign particles like fibers, dust, or metal within the vial, protecting sterility. Its precision algorithms monitor fill-level defects, flagging underfills and overfills. For packaging assurance, it detects seal defects including loose crimps, misplaced stoppers, and bent caps, as well as labeling defects like missing, skewed, or smudged labels. DeepInspect offers a next-gen, AI-enabled vial defect detection solution—delivering accuracy, compliance, and reduced quality control costs.

visual inspection sterile products

APPLICATION

Impact

With less than 200 good images required for training, DeepInspect delivers 99.5% inspection accuracy in AI-powered vial inspection. It ensures reliable automated visual inspection of parenteral vials, reducing false rejects, manual errors, and costs—while meeting strict pharmaceutical quality control standards

Automated Visual Inspection of Vials with 99.5% Accuracy

Vial Scratches/ Chips etc.

AI-powered parenteral vial inspection

Foreign Particles in Vials

deep learning vial inspection systems

Fill-Related Vial Defects

pharma vial inspection cameras edge AI

Vial Sealing Defects

semi-automatic inspection vials syringes compliance

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    What is AI-powered vial inspection?

    AI-powered vial inspection uses deep learning algorithms to detect defects like cracks, scratches, fill level errors, and foreign particles in pharmaceutical vials with high accuracy and speed

    How does DeepInspect, AI-powered brake pad inspection work?

    AI brake pad inspection  systems powered by DeepInspect use industrial cameras and deep learning algorithms to analyze images in real-time and flag quality defects with over 99.5% accuracy

     

    How does automated visual inspection improve vial quality control?

    Automated visual inspection systems eliminate human errors, detect micro-level defects, and ensure compliance with pharmaceutical standards—enhancing overall vial quality and reducing rejection rates

    What types of vial defects can DeepInspect detect?

    DeepInspect identifies glass defects such as scratches, chips, cracks; fill-level issues; foreign particles; sealing faults; and labelling errors, delivering 99.5% inspection accuracy

    Why is FDA CFR Part 11 compliance important for vial inspection?

    FDA CFR Part 11 compliance ensures that vial inspection software meets regulatory standards for electronic records and signatures, critical for pharma manufacturing traceability

    What cameras does inspection software Deepinspect support?

    We support Area Scan, Line Scan, and Thermal cameras. Our software is compatible with industry-standard vendors like Basler, Baumer, Allied Vision, FLIR, and others.

    How many images are needed to train DeepInspect's machine vision model?

    DeepInspect requires fewer than 200 good images for model training, significantly reducing setup time for defect detection 

    Does DeepInspect need defective (NG) images for AI model training?

    No. DeepInspect uses unsupervised AI, eliminating the need for NG images in training.

    How long does it take to train a model with DeepInspect?

    Model training is completed in less than 45 minutes, allowing rapid deployment of vision inspection system

    How quickly can a production line demo be done with DeepInspect?

    A line demo for DeepInspect system can be conducted within a day, showcasing its fast implementation and ease of use