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	<title>核心技术-ObjectEye|视语科技 - 引领原生科技，打造有温度、有价值的人工智能</title>
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<!--det_float_div-->
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	<a href="#f1" class="selected" id="f11">Vehicle Feature Recognition</a>
	<a href="#f2" id="f12">Face Recognition</a>
	<a href="#f3" id="f13">Body Recognition</a>
	<a href="#f4" id="f14">Defect Recognition</a>
	<a href="#f5" id="f15">Object Recognition</a>
	<a href="#f6" id="f16">Video Structure analysis</a>
	<a href="#f7" id="f17">Text Recognition</a>
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<!--<div class="second_banner">-->
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		<!--<span class="wow bounceInDown" data-wow-duration="1.5s"><img src="images/core_logo.png"></span>-->
		<!--<p class="wow bounceInDown">聚集人工智能技术，助力原生科技与行业深度结合</p>-->
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<!--</div>-->

<div class="second_banner">
	<div class="second_banner_text">
		<span class="wow bounceInDown" data-wow-duration="1.5s"><img src="images/core_logo.png" alt="视语科技——coreLogo"></span>
		<p class="wow bounceInDown">Aggregate artificial intelligence technology to power the deep integration of native technology and the industry</p>
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<div class="second_nav">
	<div class="second_nav_text" id="f2_total6">
		<a href="#f1" id="f21" class="f2PH">Vehicle Feature <br/>Recognition</a>
		<a href="#f2" id="f22" class="f2PH">Face<br/> Recognition</a>
		<a href="#f3" id="f23" class="f2PH">Body <br/>Recognition</a>

		<a href="#f4" id="f24" class="f2PH">Defect <br/>Recognition</a>

		<a href="#f5" id="f25" class="f2PH">Object<br/> Recognition</a>
		<a href="#f6" id="f26" class="f2PH">Video<br/> Structure analysis</a>
		<a href="#f7" id="f27" class="f2PH">Text <br/>Recognition</a>
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<!--floor_f1-->
<div class="floor_public floor_f1_banner" id="f1">
	<div class="floor_public_box">
		<div class="floor_f1_text">
			<h2 class="wow bounceInLeft">Vehicle Feature Recognition<span></span></h2>
			<p class="wow bounceInLeft" data-wow-duration="1.5s">Vehicle Feature Recognition: Use the fine-grained vehicle feature recognition system based on deep learning to build the unique ”car print” for each car</p>
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	</div>
</div>

<div class="floor_public_list floor_f1_list">
	<dl class="fflPAD">
		<dt><img src="images/core_img1.jpg" alt="视语科技——车型识别"></dt>
		<dd>
			<h3>Vehicle Type Recognition</h3>
			<p>Support the fine-grained recognition of 14 types and 20000 models of vehicles with the accuracy greater than 95%.</p>
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		<dt><img src="images/core_img2.jpg" alt="视语科技——车属性识别"></dt>
		<dd>
			<h3>Vehicle Attribute Recognition</h3>
			<p>Support the accurate recognition of 14 colors of car bodies, 10 types of vehicle markers such as registration tag, decoration and sun shield, 3 kinds of dangerous driving behaviors including talking on the phone, failing to fasten safety belt and smoking, vehicle types recognition for toll collection and tonnage recognition of heavy goods vehicles.</p>
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		<dt><img src="images/core_img3.jpg" alt="视语科技——车牌识别"></dt>
		<dd>
			<h3>License Plate Recognition</h3>
			<p>Based on deep learning technology, our product supports the recognition of 6 license plate colors, 14 kinds of license plate types and different provincial license plates.</p>
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		<dt><img src="images/core_img4.jpg" alt="视语科技——车脸识别"></dt>
		<dd>
			<h3>Vehicle Identification</h3>
			<p>Extracting the individual characteristics of each vehicle’s appearance, our product can realize the recognition of fake license plate car and unlicensed car, so that unlicensed car can also access the unmanned parking lot service and toll collection service.</p>
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<!--floor_f2-->
<div class="floor_public floor_f2_banner" id="f2">
	<div class="floor_public_box">
		<div class="floor_f2_text">
			<h2 class="wow bounceInLeft">Face Recognition<span></span></h2>
			<p class="wow bounceInLeft" data-wow-duration="1.5s">rapidly extract stereoscopic facial feature points, and build dynamic portrait archives for each person</p>
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<div class="floor_public_list floor_f2_list">
	<dl class="flf2PAD">
		<dt><img src="images/core_img5.jpg" alt="视语科技——人脸关键点定位"></dt>
		<dd>
			<h3>Facial Landmark Localization</h3>
			<p>Support locating 25, 68, 106 high-precision facial keypoints which clearly mark the brow, eyes, mouth, nose and face outline.</p>
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	<dl class="flf2PAD">
		<dt><img src="images/core_img8.jpg" alt="视语科技——人脸属性"></dt>
		<dd>
			<h3>Face Attributes Recognition</h3>
			<p>Analyze 5 face related attributes including gender, age, race, beauty score and smile to utilize crowd data effectively.</p>
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		<dt><img src="images/core_img7.jpg" alt="视语科技——人脸识别"></dt>
		<dd>
			<h3>Face Recognition</h3>
			<p>Determine the identity of given face by searching in database (Provide FAR and VR). Adapt to various face postures, lighting scenes and overlapped/blurred scenes.</p>
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	<dl class="flf2PAD">
		<dt><img src="images/core_img10.jpg" alt="视语科技——人脸检测跟踪"></dt>
		<dd>
			<h3>Face Detection and Track</h3>
			<p>Detect faces in photos or videos and return high-precision face bounding boxes. Tracking its route and mark down its trajectories.</p>
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		<dt><img src="images/core_img28.jpg" alt="视语科技——真人认证"></dt>
		<dd>
			<h3>Liveness Detection</h3>
			<p>Determine if the person in front of the camera is alive. Point out photos and models from alive people to prevent identity fraud and ensure the liveness.</p>
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		<dt><img src="images/core_img9.jpg" alt="视语科技——认证合一"></dt>
		<dd>
			<h3>Face verification</h3>
			<p>Convenient and efficient identity proofing with face photo verification reduces security risks effectively.</p>
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<!--floor_f3-->
<div class="floor_public floor_f3_banner" id="f3">
	<div class="floor_public_box">
		<div class="floor_f3_text">
			<h2 class="wow bounceInRight">Body Recognition<span></span></h2>
			<p class="wow bounceInRight" data-wow-duration="1.5s">Multidimensional Body Recognition Technology</p>
		</div>
	</div>
	<!--<div class="floor_public_box">-->
		<!--<div class="floor_f3_text">-->
			<!--<h2 class="wow bounceInRight">人体识别<span></span></h2>-->
			<!--<p class="wow bounceInRight" data-wow-duration="1.5s">多维度、全方面的人体感知技术。</p>-->
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<div class="floor_public_list floor_f3_list">
	<dl class="flf2PAD">
		<dt><img src="images/core_img11.jpg" alt="视语科技——人体关键点识别"></dt>
		<dd>
			<h3>Body Landmarks Localization</h3>
			<p>Locate the landmarks of human body such as head, trunk, limbs and hands. Support human motion recognition and pose recognition of multiple people, multiple views and variant poses.</p>
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	<dl class="flf2PAD">
		<dt><img src="images/core_img12.jpg" alt="视语科技——人体属性识别"></dt>
		<dd>
			<h3>Body Attributes Recognition</h3>
			<p>Pixel-level body attributes and accessories recognition. Accurately analyze human characteristics such as gender, age, and body shape, and finely recognize external features such as clothing and accessories to accurately describe multiple attributes of people.</p>
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		<dt><img src="images/core_img13.jpg" alt="视语科技——运动轨迹和行为分析"></dt>
		<dd>
			<h3>Motion Tracking and Behavior Analysis</h3>
			<p>Detect and track moving targets in real time. Draw specific motion trajectories. Generate structured target information. Analyze movement routes and behaviors.</p>
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<!-- 缺陷识别 -->
<div class="floor_public floor_f7_banner" id="f4">
	<div class="floor_public_box">
		<div class="floor_f7_text" style="right: 100px;">
			<h2 class="wow bounceInRight">Defects Recognition<span></span></h2>
			<p class="wow bounceInRight" data-wow-duration="1.5s">Intelligent recognition of visual defects in industrial applications</p>
		</div>
	</div>

</div>

<div class="floor_public_list floor_f7_list">
	<dl class="flf2PAD">
		<dt><img src="images/core_img31.jpg" alt="视语科技——人体关键点识别"></dt>
		<dd>
			<h3>Fabric Defect Recognition</h3>
			<p>Our product can not only detect the large defects such as holes and oil stains which need to be cut, but also detect minor defects such as crease mark, double yarn, missing yarn, broken yarn and spot. It is convenient for workers to evaluate the grade of textile and provide the basis for the next process.</p>
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		<dt><img src="images/core_img32.jpg" alt="视语科技——人体属性识别"></dt>
		<dd>
			<h3>Defect Recognition of Spinning Cake</h3>
			<p>Spinning cake monitoring equipment can quickly and efficiently detect defects such as wool, stiff silk, tripping silk, tailless and oil stains, and record them in the spinning cake files, which is convenient for evaluating the grade of spinning cake and providing a basis for checking the output and quality of spinning cake in the future.</p>
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		</dd>
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<!--floor_f4-->
<div class="floor_public floor_f4_banner" id="f5">
	<div class="floor_public_box">
		<div class="floor_f4_text">
			<h2 class="wow bounceInDown" data-wow-duration="1.5s">Object Recognition<span></span></h2>
			<p class="wow bounceInDown">Automatically acquire object information in the images. Return accurate recognition results and recommend related products to the consumers intelligently</p>
		</div>
	</div>
</div>

<div class="floor_public_list floor_f4_list">
	<dl  class="flf2PAD">
		<dt><img src="images/core_img15.jpg" alt="视语科技——生鲜识别"></dt>
		<dd>
			<h3>Food Recognition</h3>
			<p>The food recognition algorithm is based on deep learning. It can recognize about 1,000 kinds of foods and accurately locate them. The recognition accuracy is more than 90%. Besides, it can propose personalized healthy diet suggestions for users.</p>
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	<dl class="flf2PAD">
		<dt><img src="images/core_img16.jpg" alt="视语科技——货架商品识别"></dt>
		<dd>
			<h3>Recognition of Commodity on the Shelf</h3>
			<p>Accurately recognize the location, brand, name and price of shelf goods, so as to facilitate timely and accurate grasp of shelf goods information and improve the efficiency of supermarket shelf management.</p>
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		</dd>
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	<dl class="flf2PAD">
		<dt><img src="images/core_img17.jpg" alt="视语科技——家居装饰识别"></dt>
		<dd>
			<h3>Home Decoration Recognition</h3>
			<p>Accurately locate and recognize the household items to realize the functions of smart advertising based on the content of the scene.</p>
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	<dl class="flf2PAD">
		<dt><img src="images/core_img18.jpg" alt="视语科技——萌宠识别"></dt>
		<dd>
			<h3>Pet Recognition</h3>
			<p>Accurately analyze and describe the breed, name, hair characteristics and some other characteristics of pets to help locate and recognize pets in multiple scenes.</p>
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		<dt><img src="images/core_img19.jpg" alt="视语科技——固废分拣"></dt>
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			<h3>Solid Waste Sorting</h3>
			<p>Automatically recognize and sort solid waste to realize the material recognition and find the optimal position to pick solid waste up.</p>
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	</dl>
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<!--floor_f5-->
<div class="floor_public floor_f5_banner" id="f6">
	<div class="floor_public_box">
		<div class="floor_f5_text">
			<h2 class="wow bounceInDown" data-wow-duration="1.5s">Video Structuring<span></span></h2>
			<p class="wow bounceInDown">Extract and integrate the key information in massive video so as to intelligently analyze the real-time and post-event situation of the retrieved video</p>
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<div class="floor_public_list floor_f5_list">
	<dl class="flf2PAD">
		<dt><img src="images/core_img20.jpg" alt="视语科技——头肩检测与跟踪"></dt>
		<dd>
			<h3>Head-Shoulder Detection and Tracking</h3>
			<p>Real-time head-shoulder detection and tracking system is based on deep learning. It supports the accurate head-shoulder detection and tracking in HD video and draws trajectories for each specific target to provide real and efficient underlying data for further big data analysis.</p>
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		<dt><img src="images/core_img29.jpg" alt="视语科技——人车物检测与跟踪"></dt>
		<dd>
			<h3>Human, Vehicle and Objects Detection and Tracking</h3>
			<p>Real-time object detection and tracking system is based on deep learning. It aims at detecting and tracking specific targets in the real-time HD surveillance video with complex background.</p>
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		<dt><img src="images/core_img30.jpg" alt="视语科技——特定目标检测"></dt>
		<dd>
			<h3>Specific Target Detection</h3>
			<p>Support real-time target detection of pedestrian, bicycle, electric vehicle, motorcycle, car and other 11 types of targets by multi-channel HD video.</p>
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		<dt><img src="images/core_img22.jpg" alt="视语科技——多目标跟踪"></dt>
		<dd>
			<h3>Multi-target Tracking</h3>
			<p>Track all targets in real time. Draw specific trajectories for each target, and generate structured target information.</p>
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<!--floor_f6-->
<div class="floor_public floor_f6_banner" id="f7">
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		<div class="floor_f6_text">
			<h2 class="wow bounceInLeft">Text Recognition<span></span></h2>
			<p class="wow bounceInLeft" data-wow-duration="1.5s">Automatically recognize the text contained in images for arbitrary scenes</p>
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<div class="floor_public_list floor_f6_list">
	<dl class="flf2PAD">
		<dt><img src="images/core_img23.jpg" alt="视语科技——场景文本识别"></dt>
		<dd>
			<h3>Text Recognition</h3>
			<p>Automatically recognize the text contained in images for arbitrary scenes. The extracted text content can provide highly relevant semantic information for users to make the management more convenient and efficient. It has a wide range of applications in human-computer interaction and VR fields.</p>
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		<dt><img src="images/core_img24.jpg" alt="视语科技——集装箱识别"></dt>
		<dd>
			<h3>Container Recognition</h3>
			<p>Identify the shelf identification number. To achieve effective management, grasp the container information and arrangement information of each shelf and carry out zoning and hierarchical management.</p>
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		<dt><img src="images/core_img25.jpg" alt="视语科技——票据识别"></dt>
		<dd>
			<h3>Bill Recognition</h3>
			<p>Recognize the content of various types of bills to realize the rapid input of a large number of paper bills so as to improve efficiency and reduce cost.</p>
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		</dd>
	</dl>
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			<h3>Meter Reading Recognition</h3>
			<p>The automatic recognition of meter readings can be used in various complex environments and return recognition confidence.</p>
			<span class="line_1"></span>
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			<h3>Identity Recognition</h3>
			<p>Automatically extract the text information on the front and back of the certificate. Recognize the number of the certificate and the issuing authority. Then provide authenticity judgment of the certificate.</p>
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						<a href="core_technology_en.html#f1" style="width: 180px;">Vehicle Feature Recognition</a>
						<a href="core_technology_en.html#f2">Face Recognition</a>
						<a href="core_technology_en.html#f3">Body Recognition</a>
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						<a href="product_service_en.html#traffic">Intelligent Transportation</a>
						<a href="product_service_en.html#business">Intelligent Commerce</a>
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						<a>Tel：010-62566865</a>
						<a>Email：zksyzp@objecteye.com</a>
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