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CT36L/CT36B
CT36L AI Smart Camera is powered by RV1106G2, featuring an ARM Cortex-A7, a frequency of 1.2GHz, and 0.5T NPU.
With a 5-megapixel
ISP, it supports advanced image enhancement and correction algorithms, including HDR and WDR, as well as
multi-level noise reduction.
CT36L, equipped with a 3-megapixel HD lens, provides 100M Ethernet and POE. It is widely used in facial
recognition, gesture recognition,
gate access control, smart security, smart IP cameras, self-service terminals, smart finance, smart construction
sites, smart transportation,
and more. This camera features low power consumption and high integration.
RV1106G2, based on an ARM Cortex-A7 32-bit CPU, features integrated Neon and FPU and a frequency of 1.2 GHz,
delivering high performance
and low power consumption.
Support advanced image enhancement and correction algorithms, including HDR and WDR, as well as multi-level
noise reduction. This
ensures clear images and full-color night vision in every lighting condition.
Provide INT4/INT8/ INT16 mixed operation and framework switching of TensorFlow / MXNet / PyTorch/Caffe/Onnx NN.
Support 5M@30FPS H.265/H.264 video encoding, 16M@30FPSJPEG snapshot, multi-stream encoding and intelligent
encoding with adaptive
bitrate saving based on the scene. It offers strong encoding capabilities, high frame rates, a low bitrate, and
minimal storage requirements.
This camera features high sensitivity, a high signal-to-noise ratio, and low-light capabilities. It delivers
high-definition image quality and
accurately captures the details of highlights and shadows in dynamic scenes.
An adaptive 100M Ethernet port and POE ensure power supply and the transmission of video signals through a
single Ethernet cable.
A plug-and-play experience for efficient and convenient setup.
Designed with a built-in RISC-V MCU for low power consumption and fast booting, this device captures images
swiftly while simultaneously
loading AI model libraries, enabling it to quickly complete facial recognition.
CT36L AI Smart Camera can be widely used in facial recognition, gesture recognition, gate access control, smart
security, IP cameras,
self-service terminals, smart finance, smart construction sites, smart transportation, and more.
Type | Specifications | |
Basic Specifications | CPU |
RV1106G2, Cortex-A7, with Neon and FPU and the frequency of 1.2G |
NPU |
0.5 Tops. Support INT4/INT8/ INT16 mixed operation Support framework switching of TensorFlow / MXNet / PyTorch/Caffe//OnnX NN |
|
ISP |
High-performance 5-megapixel ISP supports HDR, WDR, 3DNR, 2DNR, sharpening, defogging, fisheye correction, gamma correction, feature detection, and more. |
|
VPU |
3072*1728 (5M) @30fps H.265 / H.264 video encoding, 16M@60FPS JPEG snapshot |
|
RAM |
Built-in 128MB DDR3 |
|
Storage |
Built-in 16MB SPI Flash |
|
OS |
Linux |
|
Dimension |
17.4 cm * 5.7 cm * 6.3 cm |
|
Power |
DC12V (5.5mm * 2.1mm), Support POE |
|
Protection Rating |
IP67 waterproof and dustproof design |
|
Environment |
Operating temperature: -20℃~70℃ , Operating humidity: 15%~90%RH (non-condensing) |
|
Camera | Image Sensor |
SC3336 |
CMOS Size |
1/2.8" |
|
Pixel |
3-megapixel (2304×1296) |
|
Aperture |
F2.0 |
|
Field of View |
98.3° |
|
Focal Length |
3.95mm |
|
Distortion |
< 33% |
|
Maximum Frame Rate |
2304*1296@30fps |
|
Focus mode |
Manual focus |
|
Camera Type |
Color |
|
Other | Network |
One 10/100M Ethernet (RJ45) |
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