Effective home-based rehabilitation depends on accurate assessment. This study evaluates the accuracy of LiDAR technology for home measurements and has significant implications for the future of home-based rehabilitation. Three researchers from different professional backgrounds—a healthcare professional, a public health researcher, and an engineer with expertise in the LiDAR system—scanned the interior of a typical UK house using LiDAR-equipped devices (iPhone-13-ProMax, iPad-Pro 11-inch, and Leica_BLK360-G1). Room dimensions were also measured using tape as a reference standard with an accuracy of ±0.1 cm. The environmental light level in each room was measured with a LUX-light meter app (Google-Pixel3a). The reliability of the measurements from the LiDAR devices was assessed against the tape measure, which served as the reference standard, using the intraclass correlation coefficient (ICC) for absolute agreement. The environmental light ranged from 54 to 1051 LUX. All three devices demonstrated high reliability in measuring room dimensions: iPad Pro (ICC =0.989 to 1.000), iPhone (ICC =0.967 to 0.999), and Leica (ICC =0.998 to 1.000). However, the Leica device showed limitations under low-light conditions. These findings support using LiDAR technology by healthcare professionals to accurately assess patients’ home environments, facilitate sustainable rehabilitation services, and potentially reduce the need for home visits.