SBIR Phase I: Remotely Operated Avian Management

这项小企业创新研究（SBIR）第一阶段项目的更广泛影响是，通过使用互联网连接设备，促进更广泛和负担得起的野生动物研究、管理和监测。互联网介导的激光雾化装置的人为控制可以提供经济有效地减少农业环境中的损害。这项研究是基于激光击退各种鸟类的能力。人工监督将受益于远程操作，使研究和开发活动能够以现场成本的一小部分进行。目前要解决的问题是鸟类的伤害。农业损失、对敏感物种的捕食和航空危害。改进和扩展所提出的模型可以扩大可解决的守恒问题的范围。拟议中的系统旨在允许一个人同时操作多个互联网连接设备。建立可靠的远程管理工具可以拓宽自然资源管理的范围，提高管理效率。通过允许偏远的荒野景观和提供积极干预的机会，该技术可以通过正式和非正式的教育增加公众对自然世界的参与，提高对资源保护问题的理解，并增强公众对解决环境挑战的承诺。建议开发一个完全集成的、可远程操作的互联网连接网络，人工智能（AI）增强激光设备，用于将有害鸟类从有价值的农业资产中驱逐。该项目的主要项目目标是在往往偏远的农业、自然保护和商业环境中，使非致命有害鸟类管理更有效、更容易和负担得起。第一阶段的研究和开发将包括由互联网连接运营商远程控制的激光阵列的创建和初始现场测试。第一阶段的性能指标将侧重于可靠性和易用性，因为在各种环境下存在重大的操作挑战（例如，在荒野和偏远地区缺乏wi-fi连接，激光安全等）。该项目旨在建立一个模板，通过互联网连接，在适当情况下辅以人工智能，对各种人类控制的设备进行可靠的远程操作。这项技术可能有助于广泛采用更有效的方法来进行荒地研究、监测和管理，因为操作员的实际存在将不需要。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact of this Small Business Innovation Research (SBIR) Phase 1 project is the facilitation of more widespread and affordable wildlife research, management, and monitoring through the use of internet-connected devices. Internet-mediated human control of laser hazing devices may provide cost-effective damage reduction in agricultural settings. The research is founded on the ability of lasers to repel a wide variety of birds. Human oversight will benefit from remote operation, allowing the research and development activtities to be conducted at a fraction of the cost of an on-site presence. The immediate problem addressed is avian damage. agricultural losses, predation on sensitive species, and aviation hazards. Refining and expanding the proposed model may broaden the range of solvable conservation problems. The proposed system seeks to allow one person to simultaneously operate multiple internet connected devices. The creation of reliable, remote management tools may broaden the scope and improve the efficiency of natural resource management. By allowing remote wildland views and providing opportunities for positive intervention, the technology may increase public engagement with the natural world through formal and informal education, improve the understanding of resource protection issues, and enhance public commitment to solving environmental challenges.The development of a fully integrated, remotely-operable network of internet-connected, artificial intelligence (AI)-enhanced laser devices for repelling pest birds from valuable agricultural assets is proposed. The primary project goal of the project is to make non-lethal pest bird management more effective, easy, and affordable in agricultural, conservation, and commercial settings that are often remote. Phase 1 research and development will cover the creation and initial field testing of a laser array that is remotely controlled by internet connected operators. Phase 1 performance metrics will focus on reliability and ease of use as there are significant operational challenges in various settings (e.g., lack of wi-fi connectivity in wilderness and remote locations, laser safety, etc.). The project seeks to establish a template for the reliable, remote operation of a wide array of human-controlled devices via internet connections supplemented, where appropriate, with artificial intelligence. This technology may facilitate the wide adoption of more efficient approaches to wildland research, monitoring, and management as the physical presence of the operator will not be required.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.