I-Corps: Business Analytics for Large Scale Intelligence
I-Corps: Business Analytics for Large Scale Intelligence
批准号:
1530914
负责人:
Yung-Hsiang Lu
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-15 至 2016-09-30
中文摘要
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英文摘要
For the last 20 years, traditional "brick-and-mortar" stores have been trying to find strategies to compete with on-line store in understanding customers' behaviors and preferences. An on-line store can easily create personalized advertisements, based on what a customer has purchased and seen. In contrast, traditional stores do not have such information and cannot provide personalized experience attracting customers into the stores and encouraging customers to buy after they are in the stores. Understanding customers' needs are currently met by surveys, focus groups, in-store observers, sales records, and market trends. Surveys and focus groups are costly and disrupt customers' buying process. In-store observers are labor-intensive and cannot record many customers' activities at once. Sales records show what has been sold, without any information about why customers do or do not purchase products. This research team has created the Business Analytics for Large-Scale Intelligence (BALSI) system that allows retailers to make real time, dynamic, and personalized advertisements and promotions to attract customers into the stores.The BALSI system uses visual analysis of video stream from in-store camera systems to observe a shopper's behavior, movement, gaze and other actions. From such data, information can be mined to help the retailer better attract, retain, and satisfy customers. BALSI's software solution analyzes the videos captured in stores without interfering with the customers and does not require any additional employees. The software will analyze the characteristics of customers to presents trends and patterns to the clients and to create dynamic advertisements to attract the customers into stores. Inside the store, the software can adaptively try to increase the likelihood of a purchase by a shopper. BALSI's software also augments human sales people by alerting a store associate to help a customer that appears to be looking for something. The technology does not recognize faces and offers better privacy protection when compared with technologies that attempt do similar things within the retail area by tracking the signals coming from a customer's phone.
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批准号:2107230
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资助金额:$25.0万
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财政年份:2021
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负责人:Yung-Hsiang Lu
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依托单位:
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批准号:2120430
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依托单位:
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批准号:2027524
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2020
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负责人:Yung-Hsiang Lu
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依托单位:
CCRI: Planning: Collaborative Research: Planning to Develop a Low-Power Computer Vision Platform to Enhance Research in Computing Systems
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批准号:1925713
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项目类别:Standard Grant
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资助金额:$5.5万
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财政年份:2019
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负责人:Yung-Hsiang Lu
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依托单位:
Summit of Software Infrastructure for Managing and Processing Big Multimedia Data at the Internet Scale
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批准号:1747694
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项目类别:Standard Grant
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财政年份:2017
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依托单位:
SI2-SSE: Analyze Visual Data from Worldwide Network Cameras
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批准号:1535108
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2015
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负责人:Yung-Hsiang Lu
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依托单位:
US-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video Streams
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批准号:1427808
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项目类别:Standard Grant
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财政年份:2014
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依托单位:
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批准号:0541267
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资助金额:$0.0万
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财政年份:2006
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负责人:Yung-Hsiang Lu
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依托单位:
CAREER: A Unified Approach for Energy Management by Operating Systems
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批准号:0347466
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项目类别:Continuing Grant
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财政年份:2004
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负责人:Yung-Hsiang Lu
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依托单位:
海外基金