ValueHD's solution features streamlined device deployment. Cameras support PoE one-wire connectivity—a single Ethernet cable handles power, control, and AV transmission. Microphones support PoE cascading, enabling rapid full-classroom rollout.
Complete Teaching Coverage
The solution adopts a dual-camera configuration with a teacher camera and a student camera mounted on the front and rear walls respectively. This captures full-class panoramas, close-ups of board writing, and teacher-student interactions in their entirety—ensuring zero missed instructional content. It fully supports scenarios such as online class observation, lecture recording, and remote synchronous teaching.
AI-Powered Auto-Framing
Cameras are equipped with Vihaid's proprietary AI-driven auto-tracking and auto-directing functionalities. They automatically recognize classroom dynamics and switch camera feeds—including teacher panoramic, teacher close-up, board-writing close-up, student panoramic, and student close-up views—without requiring an external production switcher. The system autonomously processes and switches multiple signals, ensuring remote participants receive real-time, dynamic instructional visuals.
AI-Driven Classroom Analytics
Leveraging facial recognition and other algorithms, the system automatically analyzes classroom data—such as student attendance rates, head-up/head-down ratios, and more—to assist institutions in instructional management and administrative decision-making.
Simplified device deployment
Fast installation and simple room setup with minimal IT involvement.
Comprehensive classroom view capture
High-quality audio and video ensure everyone stays connected and engaged.
AI-powered
auto-framing
AI-powered framing, speaker tracking, noise suppression, and voice enhancement automatically optimize every meeting in real time.
Instructional
data analytics
Easily expand and adapt systems to support changing meeting requirements.
Messy equipment installation, tangled cabling, and time-consuming calibration; camera tracking fails when the instructor moves, and student interactions are poorly captured by audio; the sound reinforcement system is prone to feedback and delivers coarse audio quality, undermining classroom immersion.
Higher education lecture hall
In large-tiered or wide-span lecture halls, capturing clear facial details and board-writing content from distant students is difficult; multiple audio signals overlap, causing chaotic listening experiences for remote online participants; complex device operation forces instructors to frequently adjust manually, disrupting teaching flow.
Experimental training laboratories
Uneven lighting and wide-range movements at workstations make fine operational steps hard to capture with standard cameras; ambient noise (equipment operation, tool collisions) severely interferes with audio pickup, compromising clear instruction transmission between instructors and students; uneven sound reinforcement coverage leaves rear-row students frequently missing critical guidance.
