Image Sensors for Security, Industry and Medical Use

Lineups

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1

High sensitivity & low noise
~Clear images under low illuminance~

SmartFSI® realizes high sensitivity by maximizing the amount of light captured in the photodiode efficiently.
Clear images can be achieved without noise under low illuminance.

Night scene
	Conventional sensors		Our sensors
	Images can be brightened in low illuminance by increasing the gain, however, pixel noise(*) is present.		Noise is not noticeable as images are captured without increasing the gain.

Night driving
	Conventional sensors		Our sensors
	Cyclists are not visible because the head lights don't illuminate them at this distance.		Even though the head light doesn't illuminate the cyclists they are still visible due to our high sensitivity.

* pixel noise: white defect, dark current

2

High color reproducibility
~Uniformed images~

Light guide technology of SmartFSI® realizes high color reproducibility.
Reducing color mixture to prevent color non uniformity on the edge of images.

Conventional sensors		Our sensors
Color non uniformity on the edge of the image.		Color uniformity across the entire image.

3

Supports WDR-mode
~Bright images in backlight conditions~

Up to four frames required for WDR (wide dynamic range) can be output with Line-by-Line method.
Wide dynamic range enables clear images to be captured with backlight.

	Backlight
	Conventional sensors
		When the indoor scene is focused the outdoor scene becomes too bright.		Our sensors Utilizing WDR enables images to be captured clearly in backlight conditions.
		When the outdoor scene is focused the indoor scene becomes too dark.

4

High-frame-rate
~Capture the moment~

Supporting up to 120 fps output to reduce blur when capturing images of fast moving objects.

	Fast moving objects
	Conventional sensors		Our sensors
	30fps Blur is noticeable.		120fps Blur is minimized.

5

High sensitivity for NIR (near infrared light)
~Detecting invisible objects~

By utilizing the high sensitivity for near infrared light (850nm) it is possible
to detect objects that are not recognized with visible light.

Images of a hand
	Visible light		Near infrared light
			Detecting the blood vessels that are not recognized by visible light.