video measuring machine

NovatorImager/Image Measuring InstrumentBy utilizing advanced machine vision and deep learning algorithms, target features can be quickly and accurately identified automatically, making the measurement process intelligent and unmanned. Significantly improve measurement efficiency and assist enterprises in building automated, unmanned, and intelligent production lines.

NovatorImager/Image Measuring InstrumentIt can achieve precise measurement of surface dimensions, contours, angles and positions, form and position tolerances, 3D spatial morphology and dimensional structures of various complex parts. Novator can be used in fields such as machinery, electronics, molds, injection molding, hardware, rubber, low-voltage electrical appliances, magnetic materials, precision stamping, connectors, terminals, mobile phones, home appliances, printed circuit boards, medical devices, clocks, cutting tools, and metrology testing.

NovatorImager/Image Measuring InstrumentMeasurement function

1. Measurement tools: Scan to extract edge points, multi segment to extract edge points, circle to extract edge points, ellipse to extract, frame to extract contour lines, focus points, nearest point, etc.

2. Measurable geometric quantities: points, lines, circles (center coordinates, radius, diameter), arcs, centers, angles, distances, line widths, hole positions, aperture sizes, number of holes, distance from hole to hole, distance from hole to edge, distance from arc center to hole, distance from arc center to edge, distance from arc high point to arc high point, distance from intersection point to intersection point, etc.

3. Build features: intersection point, center point, extremum point, endpoint, two-point line, parallel line, perpendicular line, tangent line, bisector, centerline, line segment fusion, radius drawing circle, three line inscribed circle, two line radius inscribed circle, etc.

4. Geometric tolerances: straightness, roundness, contour, position, flatness, symmetry, perpendicularity, concentricity, parallelism, and other geometric tolerance evaluations.

5. Coordinate system: Instrument coordinate system, point line, two-point X, two line and other workpiece coordinate systems; Image registration coordinate system; The coordinate system can be translated, rotated, and manually adjusted.

6. Quick tools: special tools such as R-angle, horizontal pitch, circumferential pitch, sieve, slot, contour comparison, spring, O-ring, etc. for quick measurement.

7. Support batch tolerance setting, proportion level division, and color customization management.

The algorithm of 8. * has been certified by the PTB German Federal Institute of Physical Technology.

AI automatic edge finding technology

1. The AI model training interface is simple, the algorithm is powerful, the training ability is strong, and the training data is intuitive.

2. AI measurement software can store images while measuring, continuously optimize and iterate AI models, and achieve high efficiency.

3. It can solve traditional measurement pain points such as blurred boundaries, multiple boundaries, excessive burrs, and excessive edge interference.

Compared to traditional manual measurement, it has high efficiency and good repeatability.

3D offline programming

1. Import 3D data offline for measurement program editing to improve measurement efficiency.

2. The interface is intuitive, easy to operate, and easy to learn and use.

Application Cases of AI Image Measurement

1. When measuring the edge features of battery back covers in the new energy industry, due to the small difference in edge steps, there are multiple layers of boundary interference and low contrast in the imaging. Automatic batch measurement cannot automatically capture the target edge, so manual measurement is necessary. Zhongtu AI measurement can eliminate multi-layer boundary interference, automatically recognize target edges even with low contrast, improve measurement efficiency by 4.5 times, and eliminate human errors, resulting in more stable measurement data.

2. When measuring the edge line of the frame in the 3C industry mobile phone, due to the irregularity and interference of the boundary, traditional automatic measurement is prone to deviation and can only be manually measured. Even if there are irregular and interfering boundaries, the automatic measurement of Zhongtu AI can eliminate interference and automatically extract the correct position, further improving measurement efficiency.

3. The metal edge boundary is blurry, with too many burrs and uneven curvature. AI measurement can automatically filter out burr interference and accurately extract the boundary.

4. The cylindrical features on black plastic parts have different shapes and unclear edge contours, and traditional automatic measurement is prone to deviation, while AI extraction is precise and stable.

5. Plastic sheet boundaries have many interferences and cannot be automatically extracted. Manual measurement is laborious and labor-intensive, while AI measurement can accurately eliminate interference on the boundaries and extract the correct position.

Efficiency and accuracy of AI image measurement in Zhongtu

1. Comparison of measurement efficiency

The single measurement time for a single workpiece has been reduced from 131s to 28s for AI measurement, resulting in a 4.5-fold increase in efficiency

2. Repetitive comparison

The proportion of dimensions with repeatability greater than 0.02mm decreased by 81%, resulting in more stable measurement data and better repeatability

3. Comparison of personnel consistency

The consistency of data measured by three different operators using AI is much better than that measured manually

Partial technical specifications

If you have any questions or need more detailed information, please feel free to contact Zhongtu Instrument for consultation.