assorted classic British cookies on a blank background

SolVisionCase Study

Cookies Quality Inspection Using AI

Customer

The client is a prominent food manufacturer known for producing high-quality cookies and snacks. With a strong presence in the Asian snack market, they are committed to upholding quality and excellence in their product lines to meet consumer expectations.

Case

Ensuring Consistent Cookie Quality

The production of cookies involves various processes, from dough preparation and shaping to baking and packaging. At each stage, strict appearance standards are critical. Even minor variations in size, shape, or color can affect cookie quality. Consistent quality inspection is essential in ensuring each batch meets these high standards, preserving both brand reputation and consumer satisfaction.

stack of savory cookies

Challenge

Manual Inspection Limitations in Snack Food Production

Before adopting AI technology, the company relied on manual visual inspection to detect defects in the cookies’ appearance. However, the process proved challenging due to the human limitations of prolonged focus, subjective judgment, and fatigue. While obvious defects such as size or shape inconsistencies were easier to identify, subtle issues like slight color variations or minor shape anomalies often went unnoticed. This led to inconsistent inspection results, where some defects were either missed or over-detected, compromising production efficiency and the overall product quality.

Solution

AI-Powered Defect Detection for Precise Quality Control

The customer integrated Solomon’s SolVision AI vision system into their production line. SolVision’s deep learning algorithms provide real-time, automated inspection, accurately identifying defects such as size deviations, irregular shapes, and color inconsistencies at high speeds. This system eliminates human error and subjective judgment, ensuring consistent and reliable results. By enhancing defect detection, the company has improved both product quality and production efficiency, reducing defects and minimizing waste. Additionally, the data collected by SolVision allows for continuous process optimization, reinforcing the company’s commitment to maintaining high-quality standards and meeting the growing market demand.

Snack Food Defect Detection

Defect detection of churros cookies

Outcome

Reduced inspection time, boosting overall production efficiency
Consistent product quality, eliminating human error and ensuring uniformity
Achieving high detection accuracy with minimal training, optimizing inspection processes