TECNO has shared the new technologies that will improve smartphone cameras in 2022. These technologies include sensor-shift stabilization, new RGBW sensors, personalized AI algorithms, and more.
At a recent webinar called Global Mobile Camera Trends 2022, TECNO highlighted some of the key trends we are likely to see in the coming year.
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In 2022, TECNO aims to introduce the first Android phone with sensor-shift technology that can achieve a response frequency of 5,000 adjustments per second. By combining lens shifting in conventional OIS (Optical Image Stabilisation) systems and the newer sensor shift technology, TECNO is looking forward to stabilization of up to five degrees.
According to Counterpoint Research, 40% of all smartphones in Q2 of 2021 had 48-64MP sensors, and 3% are smartphones with 108MP sensors. Now, we expect to see smartphones with 200MP sensors likely launch in 2022.
Sensors with a high pixel count tend to capture more details. However, the size of pixels on such sensors is usually smaller. This means that less light is captured and the harder it gets to capture good image quality in darker scenes. To counter this, sensor manufacturers are deploying an algorithm-driven technique called pixel binning to let in more light while retaining detail. TECNO also aims to incorporate this technology.
For zoom technology, smartphones that are slimmer hinders the development of this tech. Enough space is needed for optical zoom to fit all its parts and telephoto lens that are bulky. The next step is to offer continuous optical zoom, which will allow users to shift between different focal lengths smoothly. This requires the precise movement of lenses within small spaces without affecting image quality.
TECNO plans to release its continuous optical zoom soon. This will allow its users to shift between 3x and 5x optical zoom. It will also feature the advancements in stroke motor and Active Optical Alignment.
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Moving on, to achieve better image quality in low-light scenes, manufacturers use RGBW technology to address it. The camera sensor captures color information through a mechanism called the Colour Filter Array (CFA). Traditional camera sensors use CFAs arranged in the Bayer format, which comprises a pattern of Red (R), Green (G), and Blue (B) filters. RGBW sensors add White (W) filters to the mix to increase light sensitivity by 60 percent for better low light photography.
For portrait photography, TECNO said that it will be using an AI engine to recognize and classify different elements such as
faces and hair color to determine the subject’s age, gender, and skin tone. The photo is then optimized for better clarity, color, and light, which helps with more accurate reproduction of darker skin tones even in low-light scenarios.
TECNO’s TAIVOS signal processing technology recognizes and accurately reproduces dark skin elements. According to the TECNO, the company “produce more than 6,120 Evaluation Scenarios spanning 115 countries” using a large dark skin database.
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Furthermore, there’s also AI-driven image processing. It will help the users highlight not just the subject but also the background scene elements seamlessly. According to Counterpoint Research’s whitepaper, AI is becoming advanced enough to recognize dynamic scene elements such as trees or sky in the background. Once identified, the image-processing system optimizes their color, contrast, and exposure. The AI will also help interpret light information in terms of brightening the subject and color enhancements for the background.
Smartphones will also get better at generating 3D models of the scene and detecting edges thanks to the improvements with Time of Flight (ToF) and Dynamic Vision Sensors (DVS). This will allow for more precise measurements and offer users features such as. enhanced and gradual blurring of backgrounds.
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