Mantis Vision Buys AI Startup BrainVu

Calcalist: Mantis Vision has completed the acquisition of Israeli AI startup BrainVu Ltd. The financial terms of the acquisition were not publicly disclosed.

Founded in 2016, BrainVu’s develops machine vision-based technology to determine a person's mental state from a stream of smartphone camera images. The technology combines eye movement tracking and functional magnetic resonance imaging (fmri), which measures brain activity by detecting changes associated with blood flow. The “unique physiological biomarkers in eye dynamics” can help identify mental states such as alertness, attention, stress and mental effort.

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Film-Based Light Sensing Review

University of Toronto repo publishes a Nature paper from January 2017 "Solution-processed semiconductors for next-generation photodetectors" by F. Pelayo García de Arquer, Ardalan Armin, Paul Meredith, and Edward H. Sargent. " Efficient light detection is central to modern science and technology. Current photodetectors mainly use photodiodes based on crystalline inorganic elemental semiconductors, such as silicon, or compounds such as III–V semiconductors. Photodetectors made of solution-processed semiconductors — which include organic materials, metal-halide perovskites and quantum dots — have recently emerged as candidates for next-generation light sensing. They combine ease of processing, tailorable optoelectronic properties, facile integration with complementary metal–oxide–semiconductors, compatibility with flexible substrates and good performance. Here, we review the recent advances and the open challenges in the field of solution-processed photodetectors, examin...

Synaptics Under-Display Fingerprint Scanner Reverse Engineering

SystemPlus Consulting publishes a reverse engineering report of Synaptics’ under-display fingerprint scanner found inside the VIVO X21 UD Smartphone: " This scanner uses optical fingerprint technology that allows integration under the display. With a stainless steel support and two flexible printed circuit layers, the Synaptics fingerprint sensor’s dimensions are 6.46 mm x 9.09 mm, with an application specific integrated circuit (ASIC) driver in the flex module. This image sensor is also assembled with a glass substrate where filters are deposited. The sensor has a resolution of 30,625 pixels, with a pixel density of 777ppi. The module’s light source is providing by the OLED display glasses. The fingerprint module uses a collimator layer corresponding to the layers directly deposited on the die sensor and composed of organic, metallic and silicon layers. This only allows light rays reflected at normal incidence to the collimator filter layer to pass through and reach the optical ...

Review of Ion Implantation Technology for Image Sensors

MDPI Sensor publishes " A Review of Ion Implantation Technology for Image Sensors " by Nobukazu Teranishi, Genshu Fuse, and Michiro Sugitani from Shizuoka and Hyogo Universities and Sumitomo. " Image sensors are so sensitive to metal contamination that they can detect even one metal atom per pixel. To reduce the metal contamination, the plasma shower using RF (radio frequency) plasma generation is a representative example. The electrostatic angular energy filter after the mass analyzing magnet is a highly effective method to remove energetic metal contamination. The protection layer on the silicon is needed to protect the silicon wafer against the physisorbed metals. The thickness of the protection layer should be determined by considering the knock-on depth. The damage by ion implantation also causes blemishes. It becomes larger in the following conditions if the other conditions are the same; a. higher energy; b. larger dose; c. smaller beam size (higher beam current d...

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