Dahua bags international accolade double

Dahua riding high after taking home a Security Today ‘Govie’ award and a first placing in the recent KITTI Semantic Segmentation Evaluation.

Government security product award Dahua Technology, the video-centric smart IoT solution provider, has been awarded a ‘Govie’ by the North American magazine Security Today. The award honours outstanding government security products in a variety of categories, including video surveillance cameras.

“Each year we have the opportunity to view the latest and greatest products that will impact the government security sector, and this year’s contest is no different,” said Ralph C. Jensen, editor-in-chief of GovSec and Security Today magazines in a press release. “The solutions that have been entered represent great technology and innovations.”

An independent panel of judges from the security industry selected the winners in the 2019 categories, evaluating entries for features such as, innovation, quality, design, market opportunity, and technical advances. Dahua’s Multi-flex™, a flexible, 4x2MP, multi-sensor camera, took home the gold award in the IP video surveillance cameras category.

Boasting innovative flexibility, the Multi-flex allows users to position each sensor module independently around the camera’s internal track for 180, 270, or 360-degree fields of view. The camera’s integrated IR illuminators move along with the sensors for night time illumination.

“The high-performing Multi-flex makes video surveillance more adaptable, easier to use, and more cost-efficient for a variety of vertical markets,” commented Jennifer Hackenburg, Dahua’s senior product marketing manager. “We are honoured to be recognised for our contribution, which represents Dahua Technology’s continued innovation and commitment to quality.”

Semantic Segmentation Evaluation win

Adding to its trophy cabinet, Dahua also recently took out 1st place in the KITTI Semantic Segmentation Evaluation, an international benchmark for autonomous vehicle video analytics.

In 2017, Dahua achieved the first place in the field of ‘scene flow’, ‘optical flow’ and ‘text recognition detection’, backing up in 2018 with wins in ‘2D vehicle object detection evaluation’, ‘multiple object tracking’, and ‘pedestrian re-identification’. This time it’s broken through in the semantic segmentation algorithm category.

Semantic segmentation takes an image or video frame as input, and outputs a heat-map that classifies each pixel into one of several predefined categories. It is a basic task of computer vision, and plays a vital role in autonomous driving, robot scene understanding and virtual reality.

Established by the Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago, the KITTI dataset is one of the world’s largest computer vision algorithm benchmark datasets.

KITTI contains real images captured by driving around the mid-sized German city of Karlsruhe, including urban and rural areas, and highways. Each image contains up to 15 vehicles and 30 pedestrians, with varying degrees of occlusion and truncation.

In the KITTI semantic segmentation task, 19 types of objects, such as automobiles, pedestrians, roads, motorcycles, bicycles, traffic signs, buildings and vegetation in various scenes, are required to be accurately segmented.

In this evaluation, Dahua Technology incorporated image classification, single target segmentation, full pixel semantic segmentation and other advanced algorithms to improve the accuracy of semantic segmentation.

More information about the KITTI dataset is at the KTTI Vision Benchmark Suite site www.cvlibs.net/datasets/kitti/ eval_semseg.php.