According to the attributes of these components, there has been a growing demand over the past few decades for the security of visible resource-constrained components, which has become a difficult topic. Systems with limited store capacity and computational power have visual resource constraints. Therefore, effective alternatives are needed in place of the current standard encryption techniques for supporting and retaining video security in surveillance devices. So, this paper presents an innovative video encryption technology based on chaos systems for remote monitoring applications. In this study, a novel lyrebird-optimized chaotic logistic map (LO-CLM) framework is proposed for encrypting videos. In the proposed LO-CLM framework, the LO approach is employed to analyze the optimal parameter values of the CLM and also generate the optimal key. To evaluate the proposed encryption framework, video samples are gathered and for effective encrypting, we convert the video into image frames. Then, the performance of the proposed method is analyzed in encryption time 0.000412 (s), decryption time 0.000512 (s) and also compared with other existing methods. From the experimented outcomes, this study demonstrated that the proposed LO-CLM approach attains the maximum video encryption efficiency in remote monitoring than other methods.