Our core competencies, we’re different.
Original creation of wireless channel dynamic detection technology, multi-channel packet equalization algorithm, and quasi-reliable error correction transmission technology. All these technologies combine to provide excellent network adaptation for video communication systems. Our products widely support Ethernet, fiber optic networks, Wi-Fi, 2G/3G/4G, LTE private networks, satellites, microwave and additional communication networks.
Our R&D team has optimized H.264, H.265, AVS, AAC and other standard encoding and decoding algorithms, and we possess patent image processing technologies, such as 3D noise reduction, image enhancement and deinterlacing. Through an efficient compression algorithm, excellent video preprocessing and post-processing technology, we are able to achieve a more perfect visual effect in limited network bandwidth.
Crearo has always been in the position of high-end embedded system design, ensuring the development of high-end security video products. Its hardware development platform involves ARM, Hisilicon, Davinci, Qualcomm, Nvidia, Jeston, Xilinx, etc., and is proficient in the development of Linux, Android, iOS and other system platforms.
We are one of the earliest manufacturers of mobile hard disk video recording products. Our reliable storage technology supports the storage of various file containers. We also possess key information indexing and advanced multi stage shock absorber structure design as well as military steel wire rope shock absorption technology, improving the reliability of mobile hard disk storage. The stability of video storage has reached leading levels both at home and abroad.
The face nucleus scheme uses a variety of technical capabilities such as live detection, document identification, and face comparison to capture current user photos and compare them with citizenship photos to achieve online user authentication.
Jointly established the intelligent video research center with the University of Science and Technology of China, to study facial recognition, video speeds, traffic analysis, license plate recognition, use of illegal lanes and running of red lights. Additionally, studied ultra wide dynamic video analysis technology, out of bounds, tracking, wandering, lost / left, counting intrusion control and abnormal behavior of video analysis technology.
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