Achieving perfect accurate automatic body measurements can be challenging, but here are some requirements that can help:
High-Quality 3D Scanning Technology: The accuracy of automatic body measurements depends largely on the quality of the 3D scanning technology used. The scanner should be able to capture precise and detailed measurements of the body's contours, including all curves, bumps, and curves.
Proper Lighting: Proper lighting is crucial for achieving perfect accurate body measurements. The lighting should be even and bright enough to highlight all areas of the body clearly. Shadows or reflections can distort measurements and result in inaccuracies.
Calibration: The 3D scanning application must be accurately calibrated before each use to ensure that the measurements are consistent and accurate.
Clothing Choice: The clothing that a person wears can affect the accuracy of automatic body measurements. Loose or baggy clothing can obscure body contours and result in inaccuracies. Tight-fitting clothing is ideal for accurate measurements.
Correct Body Positioning: The body must be positioned correctly during the scanning process to ensure that all measurements are taken accurately. The person being scanned should stand upright with their arms at their sides and feet slightly apart.
Experienced Operator: The person operating the 3D scanner should be experienced and trained to use the equipment properly. They should also be able to identify and correct any issues that may arise during the scanning process.
Data Processing: The software used to process the 3D scan data should be able to accurately analyze the measurements and calculate precise body dimensions.
By meeting these requirements, it is possible to achieve perfect accurate automatic body measurements that can be useful for various applications, including clothing design, fitness, and medical purposes.

https://3dmeasureup.com/blog/requirements-for-accurate-measurements/

Author's Bio: 

ProtoTech’s 3D Measure Up is based on a proprietary algorithm which is a combination of 3D geometry, computational and machine learning algorithms to provide you with a highly accurate and reliable identification and measurement.