NIT is widely known for its large range of SWIR cameras designed for industrial, defense, and medical markets. Less known is that NIT designs and manufactures in-house all the InGaAs sensors embedded into our cameras. We master the design of silicon read-out circuits, InGaAs photodiode arrays, and assembly technologies such as 3D stacking.

Our recent investment into a new clean room facility and back-end process machines will bring our production capacity to several ten thousand sensors per year with the highest quality. ​

Such vertical integration allows us to offer a line of cameras with specific features, all adapted to our customer markets and applications. Our cameras and their performances are unique as they don’t use third-party sensors. The sensitivity, noise level, frame rate, pitches, dynamic range, and pixel numbers of our InGaAs sensors make our cameras the best in their class.

Stay tuned with us as we will shortly disclose how our cameras benefit from the features of our sensors.​

Test our products up close, and get first-hand information about new arrivals.  Welcome to our October events!

NIT controls and masters in-house all the design and manufacturing phases of its InGaAs focal plane arrays.

One of the critical steps is the 3D stacking of the photodiode array to the read-out circuit, for which NIT has developed a very innovative flip-chip process ensuring high yield and low cost of production.

The 3D stacking process is able to produce FPA’s from pitch of 7.5um to 15um, studies are underway to lower this limit.

During OPTRO 2022 conference, held in Versailles from June 8th to 10th, New Imaging Technologies (NIT) will be present through the following talks:

We hope to meet you on this occasion. 

New release of NITVision software: Version 1.3 integrates now Python Scripting

NITVision 1.3 now integrates the possibility for users to insert custom python scripts directly into NITVision’s image processing pipeline.

This new feature allows any user to expand the capabilities of the software by adding image processing or automation features customized for their application without the need of going through full application development.

Many open-source image processing libraries such as open CV can be used for Python thus enabling short development time.