An all-refractive common-path zoom optical system is designed for simultaneous 1080 nm high-power laser emission and visible (550–650 nm) / near-infrared (808 ± 10 nm) dual-band imaging. The core challenge arises from the high-power laser constraint: lenses in the common-path section are preferably fabricated from fused silica to withstand the high-power laser irradiation (3000 W laser power), yet this single-material limitation directly conflicts with the multi-material requirement for chromatic correction across the broad 550–1080 nm band. To resolve this conflict, the imaging rear group employs multiple glass types for wideband chromatic correction, while three fused silica compensators are introduced in the laser emission path and jointly optimized with the common path through a multi-configuration strategy. The final system achieves a continuous zoom working distance from 0.1 km to 1 km, delivering a near-diffraction-limited MTF and an RMS spot radius of 6.3 μm for imaging, and an RMS spot radius of 4.7 μm for laser delivery. Monte Carlo analysis confirms an 80% probability of meeting all design specifications. This hybrid material strategy provides a practical solution for high-power laser transceivers requiring simultaneous wideband imaging.
This research proposes an fibre bragg grating sensor based real time system which utilizes strain measurements to detect foot positions during plantarflexion and dorsiflexion along with inversion and eversion movements. FBG sensors used to detect distinct strain patterns in which + 689.5 µε tension ensued during plantarflexion while + 1521 µε tension occurred during inversion. Strains reached –2205.4 µε during dorsiflexion and –1478.5 µε during eversion. Strain measurement during gait considered with time has indicated maximum strain at mid-stance and minimum strain at toe-off. A neural network based artificial intelligence model executed automated posture classification which resulted in 86% accuracy and featuring precision of 0.96 and 0.96 F1 score. Ten participants contributed a total of 492 labeled samples across four distinct postures and walking trials. Research results affirm that the FBG sensor system delivers appropriate performance for smart wearable use in rehabilitation process and performance assessment.
