Optical system for object detection and delineation in space

Amir Handelman; Shoam Shwartz; Liad Donitza; Loran Cheplanov

doi:10.1117/1.OE.57.1.013108

31 January 2018 Optical system for object detection and delineation in space

Amir Handelman, Shoam Shwartz, Liad Donitza, Loran Cheplanov

Author Affiliations +

Optical Engineering, Vol. 57, Issue 1, 013108 (January 2018). https://doi.org/10.1117/1.OE.57.1.013108

Abstract

Object recognition and delineation is an important task in many environments, such as in crime scenes and operating rooms. Marking evidence or surgical tools and attracting the attention of the surrounding staff to the marked objects can affect people’s lives. We present an optical system comprising a camera, computer, and small laser projector that can detect and delineate objects in the environment. To prove the optical system’s concept, we show that it can operate in a hypothetical crime scene in which a pistol is present and automatically recognize and segment it by various computer-vision algorithms. Based on such segmentation, the laser projector illuminates the actual boundaries of the pistol and thus allows the persons in the scene to comfortably locate and measure the pistol without holding any intermediator device, such as an augmented reality handheld device, glasses, or screens. Using additional optical devices, such as diffraction grating and a cylinder lens, the pistol size can be estimated. The exact location of the pistol in space remains static, even after its removal. Our optical system can be fixed or dynamically moved, making it suitable for various applications that require marking of objects in space.

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Amir Handelman, Shoam Shwartz, Liad Donitza, and Loran Cheplanov "Optical system for object detection and delineation in space," Optical Engineering 57(1), 013108 (31 January 2018). https://doi.org/10.1117/1.OE.57.1.013108

Received: 1 November 2017; Accepted: 9 January 2018; Published: 31 January 2018

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KEYWORDS

Firearms

Diffraction gratings

Cameras

Laser marking

Radon transform

Detection and tracking algorithms

Image segmentation

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