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<p>Active imaging technologies, encompassing radar, lidar, and laser-gated systems, have revolutionized the defense industry by providing advanced capabilities for target detection, identification, and situational awareness under dark conditions. These technologies actively emit energy, such as radio waves or laser pulses, to create images of objects or environments, overcoming limitations posed by visibility constraints or obscures like fog or smoke. Over the years, active imaging has undergone significant development, marked by improvements in range, resolution, and sensitivity, enabling defense systems to operate effectively in diverse and challenging scenarios. In this work, we propose the integration of an Nd-YAG (Neodymium doped Yttrium Aluminum Garnet) Q1 Laser and Bobcat-320-GigE-400Hz Gated SWIR (Short-wave infrared) Camera for active imaging. The data acquired is then processed performing object detection. The integration of artificial intelligence and machine learning algorithms has further augmented the capabilities of active imaging systems, automating processes such as target recognition and data analysis. Additionally, advancements in miniaturization have led to the creation of compact and portable active imaging solutions, suitable for deployment on various platforms including unmanned aerial vehicles (UAVs) and handheld devices. Through ongoing research, testing, and operational integration efforts, active imaging continues to play a crucial role in enhancing defense capabilities, ensuring accurate and timely decision-making, and supporting mission success in dynamic and evolving operational environments.</p>

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Design of near-infrared imaging system using Nd-YAG laser at 1064 nm and gated InGaAs camera

  • 期刊论文

  • 发表日期：

    2025年2月5日

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  • Y. Chalapathi Rao,
  • M. Satyanarayana,
  • Pedapudi Lavanya,
  • G. Ramesh Chandra,
  • L. Srinivasa Rao,
  • A. Satya Srujan

摘要

Active imaging technologies, encompassing radar, lidar, and laser-gated systems, have revolutionized the defense industry by providing advanced capabilities for target detection, identification, and situational awareness under dark conditions. These technologies actively emit energy, such as radio waves or laser pulses, to create images of objects or environments, overcoming limitations posed by visibility constraints or obscures like fog or smoke. Over the years, active imaging has undergone significant development, marked by improvements in range, resolution, and sensitivity, enabling defense systems to operate effectively in diverse and challenging scenarios. In this work, we propose the integration of an Nd-YAG (Neodymium doped Yttrium Aluminum Garnet) Q1 Laser and Bobcat-320-GigE-400Hz Gated SWIR (Short-wave infrared) Camera for active imaging. The data acquired is then processed performing object detection. The integration of artificial intelligence and machine learning algorithms has further augmented the capabilities of active imaging systems, automating processes such as target recognition and data analysis. Additionally, advancements in miniaturization have led to the creation of compact and portable active imaging solutions, suitable for deployment on various platforms including unmanned aerial vehicles (UAVs) and handheld devices. Through ongoing research, testing, and operational integration efforts, active imaging continues to play a crucial role in enhancing defense capabilities, ensuring accurate and timely decision-making, and supporting mission success in dynamic and evolving operational environments.