- API
- 智能二维码与条形码位置识别
POST/ai_image_detect/ai_barcode_and_qcode_position/v1
请求参数(Header)
无参数
请求参数(Query)
无参数
请求参数(Body)
- 接口文档
- 请求示例
- 成功响应
- 失败响应
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接口信息
https://qrbcode.market.alicloudapi.com/ai_image_detect/ai_barcode_and_qcode_position/v1
POST
JSON
接口参数
请求参数(Header)
无参数
请求参数(Query)
无参数
请求参数(Body)
字段名称 | 必填 | 字段详情 |
---|---|---|
IMAGE string | Y | 图像数据,BASE64编码后进行URLENCODE,要求BASE64编码和URLENCODE后大小不超过2M,最短边至少15PX,最长边最大4096PX,支持JPG/PNG/BMP格式 实例值: 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 |
云市场服务保障
*请勿线下交易!90%的欺诈、纠纷、资金盗取均由线下交易导致。
商品介绍
产品亮点
智能图像分析-智能二维码与条形码检测与识别-艾科瑞特(iCREDIT)
智能图像分析-智能二维码与条形码检测与识别-艾科瑞特(iCREDIT),凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能二维码与条形码检测与识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能二维码与条形码检测与识别,支持对图像中多种条形码与二维码定位与聚焦,支持远距离、近距离图像二维码与条形码识别与定位,实现快速远距离与近距离甄别二维码与条形码目标并定位与聚焦,辨析图像中是否包含二维码与条形码信息
新技术必将改变企业的方方面面,您将从何处踏上数字化转型征程?至关重要的是,企业必须首先找到一家深谙业务与技术交汇融合的合作伙伴
为日新月异的中国新经济变革,将咨询、数字和技术等领域的独到服务应用于行业领域,助力客户应对最严峻的挑战
关键词:二维码识别、条形码识别、二维码检测、条形码检测、自然语言处理、企业知识图谱、NLP、深度学习、人工智能、AI、DEEP LEARNING
产品说明
智能图像分析-智能二维码与条形码检测与识别-艾科瑞特(iCREDIT)
智能图像分析-智能二维码与条形码检测与识别-艾科瑞特(iCREDIT),凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能二维码与条形码检测与识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能二维码与条形码检测与识别,支持对图像中多种条形码与二维码定位与聚焦,支持远距离、近距离图像二维码与条形码识别与定位,实现快速远距离与近距离甄别二维码与条形码目标并定位与聚焦,辨析图像中是否包含二维码与条形码信息
新技术必将改变企业的方方面面,您将从何处踏上数字化转型征程?至关重要的是,企业必须首先找到一家深谙业务与技术交汇融合的合作伙伴
为日新月异的中国新经济变革,将咨询、数字和技术等领域的独到服务应用于行业领域,助力客户应对最严峻的挑战
关键词:二维码识别、条形码识别、二维码检测、条形码检测、自然语言处理、企业知识图谱、NLP、深度学习、人工智能、AI、DEEP LEARNING
产品参数
交付方式 | API |
开票主体 | 深圳艾科瑞特科技有限公司 |
所属类目 | AI应用与OCR |
上架日期 | 2019-12-03 |
产品截图











售后支持范围
工作日:周一至周五【每天10:30-17:00】 技术支持钉钉号:icredit【备注:阿里云市场】 技术支持电话:0532-88984128
产品资质
本页面内容由服务商提供
商品价格(此处价格仅供参考,实际价格以选配后的价格为准)
版本名称 | 计费项 | 新购 |
0.01元/1次 | 版本基础价格 | 0.01元 |
298元/5万次 | 版本基础价格 | 298元 |
598元/15万次 | 版本基础价格 | 598元 |
998元/50万次 | 版本基础价格 | 998元 |
1998元/100万次 | 版本基础价格 | 1998元 |
4998元/500万次 | 版本基础价格 | 4998元 |
9998元/1000万次 | 版本基础价格 | 9998元 |
私有化授权费-59998元/次【不限制装机量】 | 版本基础价格 | 59998元 |
私有化模型更新费-4998元/次 | 版本基础价格 | 9998元 |
使用指南
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服务商

深圳艾科瑞特科技有限公司
艾科瑞特科技(iCREDIT)集团面向全球提供人工智能(AI)与大数据(BIG DATA)解决方案,通过其旗下品牌服务全球顶尖投资银行、基金公司以及众多世界五百强企业,素有全华尔街都在使用的中国标准之称。企业拥有众多深受信赖的优质、领先品牌,包括艾科瑞特(iCREDIT)、超验(iTRANSCEND)、玄机(iTHEORY)、泰始明昌(TAISHIMINGCHANG)等等;艾科瑞特在全球近约近三百个国家和地区开展业务
服务商星级:
- 数据与API
- AI与大数据计算
客服在线:09:00-18:00【工作日】
旺旺:电话:0532-88984128
邮箱:market@icredit.link 官方钉钉与微信:17060450860入住时间:2017-09-30
所在地区:440000 440300
入驻集市:数据市场
可开发票类型:增值税专用发票
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问题处理:
店铺交易情况
商家商品数量:5000近180天成交订单量:3216近180天退单率:0.31%店铺评分状态
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- 综合总分:4.5分
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综合总分4.5分的分布





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用户评论 (96)
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我们相信,数字变革已经成为了定义如今的商业环境的关键因素,特别是对连锁民宿企业行业而言;基于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们可以利用智能图像分析简化传统业务流,加速企业内部流程数字化步伐;艾科瑞特的服务是我所见的数字化转型服务企业中最为专业与尽职的,其对行业的理解,远超我司资深专家团队,帮助我们能够站在更高的角度去审视企业数字化转型路径;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;在数字化转型中,感谢艾科瑞特(iCREDIT)的支持,让企业业绩长青
艾科瑞特一直致力于让汽车租赁企业了解数字变革,帮助我们引领变革;依靠艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,让我们拥有了优化业务流,并加速业务流的能力,特别是在智能图像分析的使用,极大简化了传统业务流程;数字化、智能化是我们对数字化转型的要求,艾科瑞特的小伙伴不仅帮助我们实现了这些,同时使我们整体业务流程实现高效、敏捷;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;与先知者艾科瑞特(iCREDIT)一道,让企业业绩长青
数字化转型对货运平台行业而言,远不是一句口号,更多的是如何让商业实现数字升级;得益于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们在利用智能图像分析上,实现对现有业务流的的加速与优化;企业数字化转型中存在诸多的不确定性与定制化服务,艾科瑞特的小伙伴总能创新性、敏捷的拿出新的解决方案,帮助我们完善业务流程;艾科瑞特的智能图像分析具备高稳定性、高响应性、高创新性,不仅满足我们现阶段需求,同时延展了我们业务线,使我们能够更好的服务我们的客户;与先知者艾科瑞特(iCREDIT)一道,让企业业绩长青
成为客户所倾向的合作伙伴,需要的是我们自身的改变,引领商旅票务公司变革;依靠艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,让我们拥有了优化业务流,并加速业务流的能力,特别是在智能图像分析的使用,极大简化了传统业务流程;在数字化转型过程,由于我们对预期的不明确,一直以来,艾科瑞特的小伙伴们为我们解疑答惑,帮助我们梳理业务流程,设计完备的数字化转型路线图;好产品的定义是具有创新与敏捷,创新的目标不断迭代满足客户的需求,敏捷的目的是能为客户需求下做出快速的反映,艾科瑞特的智能图像分析产品恰恰做到这些,这也是我们选择艾科瑞特作为我们合作伙伴的重要原因;与艾科瑞特(iCREDIT)同行,思变未来,应新于时,让您的企业业绩长青
智胜危机,思变未来,数字化转型刻不容缓,这是我们连锁品牌药店行业在当下经济环境,最深刻的感受;得益于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们在利用智能图像分析上,实现对现有业务流的的加速与优化;数字化、智能化是我们对数字化转型的要求,艾科瑞特的小伙伴不仅帮助我们实现了这些,同时使我们整体业务流程实现高效、敏捷;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;与先知者艾科瑞特(iCREDIT)一道,让企业业绩长青
在一个日新月异地变化着的世界,虽然无法预视品牌和商业,但是我们仍能想象数字变革会给我们内资保险公司行业带来什么;凭借艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱,帮助我们对现有非智能业务实现迭代,特别是在智能图像分析运用,实现了对其所在业务体系的数字化转型;数字化、智能化是我们对数字化转型的要求,艾科瑞特的小伙伴不仅帮助我们实现了这些,同时使我们整体业务流程实现高效、敏捷;用什么言语来评价一款好的产品,最恰到的词汇莫过于创新、稳定、高效,艾科瑞特小伙伴创造的智能图像分析让我们重新认知数字化转型过程,产品是可以做到如此的具有创新性、高效性和敏捷性;与艾科瑞特(iCREDIT)同行,思变未来,应新于时,让您的企业业绩长青
永不自满,拥抱数字变革,是网约车管理平台行业企业与从业人员由始至终都必有的状态;艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,帮助我们利用智能图像分析实现业务模式的创新;企业解决方案往往需要深厚的行业背景,艾科瑞特的专业性让我们重新认知所在行业,而且数字化转型路径解决方案,更是让我们有了明确的转型路线图;好产品的定义是具有创新与敏捷,创新的目标不断迭代满足客户的需求,敏捷的目的是能为客户需求下做出快速的反映,艾科瑞特的智能图像分析产品恰恰做到这些,这也是我们选择艾科瑞特作为我们合作伙伴的重要原因;与先知者艾科瑞特(iCREDIT)一道,让企业业绩长青
数字化技术在多个方面处于不断转变的状态,外资保险公司行业所面临的危机共存,我们需要重新认知数字化转型所将给我们带来的全新改变,这将是时代发展中,企业最后机会;得益于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们在利用智能图像分析上,实现对现有业务流的的加速与优化;数字化转型对企业而言,不仅是业务流的数字化,更重要的是商业模式的数字化,而这些都得益于艾科瑞特小伙伴,为我们精心设计的数字化转型路线图;好产品的定义是具有创新与敏捷,创新的目标不断迭代满足客户的需求,敏捷的目的是能为客户需求下做出快速的反映,艾科瑞特的智能图像分析产品恰恰做到这些,这也是我们选择艾科瑞特作为我们合作伙伴的重要原因;感谢艾科瑞特(iCREDIT)小伙伴的支持,让我们快速实现业务流数字化,让企业业绩长青
利用人工智能与5G,得益于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们在利用智能图像分析上,实现对现有业务流的的加速与优化;数字化转型对企业而言,不仅是业务流的数字化,更重要的是商业模式的数字化,而这些都得益于艾科瑞特小伙伴,为我们精心设计的数字化转型路线图;好产品的定义是具有创新与敏捷,创新的目标不断迭代满足客户的需求,敏捷的目的是能为客户需求下做出快速的反映,艾科瑞特的智能图像分析产品恰恰做到这些,这也是我们选择艾科瑞特作为我们合作伙伴的重要原因;与艾科瑞特(iCREDIT)同行,思变未来,应新于时,让您的企业业绩长青