HIKMICRO introduces the next level of compact thermal imaging with the E20 Plus, a miniature device designed to seamlessly integrate into smartphones. By using the phone's power supply and screen, the structure of the device is significantly simplified, resulting in a reduction in price and dimensions. HIKMICRO E20 Plus is compatible with most Android smartphones on the market thanks to its USB-C interface.
Key features of the HIKMICRO E20 Plus thermal imager for smartphones include:
Remarkably compact dimensions for everyday portability.
256 x 192 sensor resolution, providing impressive detail considering its size.
Wide field of view, allowing coverage of large areas at close range.
High refresh rate for comfortable viewing.
Six viewing modes for optimal adaptation to various conditions.
Specialized birding mode for maximum efficiency in observing bird species.
USB-C compatibility with most smartphones, ensuring easy connectivity.
Ability to capture images and record videos directly on the phone's memory.
Dust resistance according to the IP40 standard.
The HIKMICRO E20 Plus thermal imager is intended for daily use and in the field. Its effective thermal imaging capabilities allow users to observe their surroundings and locate hot water supply pipes inside walls, among other applications. What's more, the device has a mode specially designed for bird watching, ensuring that even the smallest species won't go unnoticed.
The heart of the HIKMICRO E20 Plus Thermal Imaging Camera is an advanced 256x192 sensor with a pixel size of 12 μm and a sensitivity of less than 35 mK. The device guarantees a realistic representation of the environment thanks to its optics with a single magnification. Weighing just 26 grams, the E20 Plus can be carried effortlessly in any situation.
The HIKMICRO E20 Plus stands out for its advanced and user-friendly software. Navigating the interface is intuitive and operating the device via the smartphone screen is immediately familiar. The displayed image offers a range of color palettes, allowing users to choose the version that best distinguishes the observed object from the surrounding environment.
