Users can observe with one hand, freeing the other hand to drive, just like using traditional binoculars
Middle-positioned zoom lever, easy to operate. The zoom lever can be adjusted by only one finger even with gloves.
The number of buttons on the device has been reduced from six to four, allowing users to more easily achieve focus, zoom, and range measurement with just two fingers.
Ergonomic design enhances comfort and usability
Carefully crafted shape and grip, resembling traditional binocular designs, ensure a comfortable hold.
Suitable for prolonged use without discomfort, ideal for casual users and outdoor enthusiasts.
Compact and Lightweight
Enhance comfort during long observation sessions by reducing strain on the shoulders and neck, allowing hunters to focus for extended periods.
700g lightweight and the size of 175.4*138*66mm. Internal magnesium alloy structure and outer sillicon shell make it compact and light, making one hand operation easier.
Comfortable viewing experience, ideal for extended use
AMOLED 1920×1200, 0.72inch Round Display screen brings users immersive experience just like traditional binoculars.
60Hz frame rate can provide smoother image display, reducing stuttering or lag, and enhancing the user’s observation experience during fast movement, making it closer to that of traditional optical binoculars.
F0.9 Lens
Comparing to normal F1.0 lens, the F0.9 lens(Quest H35R/Quest L35R) could gain 20% more light intake and significantly improve image quality.
High Sensitivity Thermal Core
The QUEST series is equipped with a self-developed sensor with NETD ≤15mK, ensuring high sensitivity to temperature differences and delivering highly detailed imaging output.
Reality+ Image Improvement AI Algorithms
Reality+ utilizes industry-leading deep convolutional neural network technology, supported by a vast training dataset far exceeding average standards, ensuring absolute precision of the algorithm. This technology automatically enhances image details, removes noise and interference from infrared images, and avoids the over-smoothing issues common in traditional denoising techniques, preserving intricate details down to every strand of fur on animals, achieving a significant leap in image quality.
