In 2015 we started a PhD thesis aiming to write a moving objects processing system (MOPS) aimed to detect near Earth asteroids (NEAs) in astronomical surveys planned within the EURONEAR project. Based on this MOPS experience, in 2017 we proposed the NEARBY project to the Romanian Space Agency, which awarded funding to the Technical University of Cluj-Napoca (UTCN) and the University of Craiovafor building a cloud-based online platform to reduce survey images, detect, validate and report in near real time asteroid detections and NEA candidates. The NEARBY platform was built and is available at UTCN since Feb 2018, being tested during 5 pilot surveys observed in 2017-2018 with the Isaac Newton Telescope in La Palma. Two NEAs were discovered in Nov 2018 (2018 VQ1 and 2018 VN3), being recovered and reported to MPC within 2 hours. Other 4 discovered NEAs were found from a few dozen possible NEA candidates promptly being followed, allowing us to discover 22 Hungarias and 7 Mars crossing asteroids using the NEARBY platform. Compared with other few available software, NEARBY could detect more asteroids (by 8-41$\%$), but scores less than human detection (by about $10\%$). Using resulted data, the astrometric accurancy, photometric limits and an INT NEA survey case study are presented as guidelines for planning future surveys.

2015年，我们开始撰写博士学位论文，旨在编写一个移动物体处理系统（MOPS），旨在通过EURONEAR项目计划中的天文学调查来探测近地小行星（NEA）。基于MOPS的经验，我们在2017年向罗马尼亚航天局提出了NEARBY项目，该项目获得了克卢日-纳波卡技术大学（UTCN）和克拉约瓦大学的资助，用于建立基于云的在线平台以减少调查图像，近乎实时的小行星探测和NEA候选者的探测，验证和报告。自2018年2月以来，NEARBY平台已构建并在UTCN可用，并在2017-2018年使用艾萨克·牛顿望远镜进行的5次试点调查中进行了测试在拉帕尔玛岛。2018年11月发现了两个NEA（2018 VQ1和2018 VN3），并在2小时内将其报告给MPC。立即从数十名可能的NEA候选者中发现了另外4个被发现的NEA，这使我们能够使用NEARBY平台发现22个匈牙利和7个穿越火星的小行星。与其他少数可用软件相比，NEARBY可以探测更多小行星（到8-41$％$），但得分却低于人工检测（大约 $10％$）。使用结果数据，将天文学的准确度，光度限制和INT NEA调查案例研究作为规划未来调查的指南。