Advanced 3D Machine Vision Techniques for Parcel Dimensioning and Volume Measurement
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Parcel dimensioning and volume measurement are critical for optimizing freight costs and warehouse space utilization. This technical session will examine advanced 3D machine vision methodologies, including stereo vision, structured light scanning, and time-of-flight (ToF) sensors. The presentation will cover algorithmic approaches to point cloud processing, surface reconstruction, and real-time volume estimation under high-speed conveyor conditions. Key challenges such as handling irregularly shaped or wrapped parcels, compensating for sensor noise, and achieving millimeter-level measurement accuracy will be discussed. Engineers and integrators will gain insights into hardware selection, system calibration, and integration techniques for deploying scalable 3D vision solutions in logistics environments.
Speaker:
David Dechow
Vision and Industrial Automation Solutions Architect
Motion Automation Intelligence
David L. Dechow is an engineer, programmer, and technologist widely recognized as an expert and thought leader in integration of machine vision and related automation technologies. He has had a decades-long career serving the automated imaging industry, founding two integration companies and working for others like Motion Ai, Fanuc America and Landing AI and is Principal Vision Systems engineer for the Arthur G. Russell Company.
Mr. Dechow is a recipient of the A3 Automated Imaging Achievement Award recognizing career contributions to the vision industry, is a member of the Association for Advancing Automation (A3) Imaging Technology Strategy Board and is contributing editor for Vision Systems Design magazine.
As a key educator in the field of machine vision technologies, Mr. Dechow has participated in the training of hundreds of engineers as an instructor with the A3 Certified Vision Professional program since its origin. He also is well known for his frequent informative technical articles, papers, webinars, and conference sessions and classes covering a wide range of technical topics involving machine vision and associated enabling technologies in industrial automation.
