Background knowledge

In the apple processing industry chain, precise identification of pit orientation serves as a critical prerequisite for subsequent grading, packaging, and processing. Whether it involves standardized packaging of fresh apples or automated feeding in deep-processing scenarios such as juice and dried fruit production, the consistency of pit orientation directly impacts production efficiency, product quality, and material loss.

Traditional inspection methods predominantly rely on manual visual judgment, which not only faces challenges such as high misjudgment rates due to eye fatigue, continuously rising labor costs, and detection efficiency failing to match automated production lines, but also struggles to handle complex scenarios like inconsistent apple sizes, surface defects, and disorganized storage. Particularly in large-scale production environments, the subjectivity and limitations of manual inspection have become a bottleneck hindering the intelligent transformation of the apple processing industry.

Camera Selection

Today, we're showcasing a real-world application of Next Vision Tech's LVM2540 linear laser 3D camera in agricultural product inspection!

The LVM2540 3D intelligent sensor features a full-frame acquisition rate of 2500Hz, with ROI settings capable of reaching up to 56000Hz. It effortlessly handles high-speed dynamic scenes, delivering repeatable precision of 1μm and capturing every detail, thus meeting the demands of high-precision industrial inspection.

surveillance project

Product dimensions: 100 mm long x90 mm wide x90 mm high or 90 mm long x90 mm wide x100 mm high

Theoretical speed: up to 300 mm/s

Detection method: a. The top of the apple is directly above

b.The bottom of the apple is directly above the top.

c.The side of the apple is directly above.

According to the detection requirements, the result is OK when apple is detected as a and b, and NG when c is detected.

The figure shows the effects of the tested object from different angles.

Detection environment and installation method

·Scanning method: The camera is fixed in place, and the test specimen is scanned along a central linear path for measurement.

·Triggering method: Encoders are used for triggering to output stable AB phase difference signals

·Communication method: TCP/IP Ethernet

Image capture effect

*Image captured from the top of the Apple device

*This is a side view of an Apple product

*Image captured from the bottom of the Apple device

Test conclusion

·This solution delivers high-definition images, with the LVM2540 camera accurately detecting apple orientation based on its shape, fully meeting customer requirements.

About Next View

Founded in 2017, Yishi Technology is a high-tech enterprise specializing in the design, R&D, production, sales, and service of industrial vision products. The company focuses on developing underlying algorithms and hardware implementations for industrial vision products, possessing a complete suite of proprietary software and hardware technologies. Its goal is to become the most trusted leader in the visual sensor industry.