物聯網時代智慧連網專家
  • 首頁
  • 專業文章
  • 應用案例

    • AI In Smart Retail

    AI In Smart Retail

    Hailo AI Processor for Smart Retail


    AI-Powered Shopping Experience

    Smart retail is reshaping the traditional shopping landscape by leveraging AI to both improve the shopping experience as well as to empower businesses to remain competitive and attractive in light of the rising competition from online shopping platforms. AI is used to:
    • Streamline the shopping process with product and person identificatin, enabling fast, accurate and efficient checkout
    • Analyze vast amounts of customer data to help retailers understand consumer preferences and make data-driven decisions, predict trends, optimize inventory management, and create a personalized shopping experience
    • Improve the security of supply chain and shoppers alike, by identifying shoplifting and other potentially suspicious behavior

    A Smart Retail cctv camera in a grocery store.



    AI Benefits For Retail



    High Performance

    High AI compute capacity allows a jump in size and complexity of models and pipelines, enabling the usage of state-of-the-art models like SAM and CLIP which enable high granularity insights on store operations


     

    Low Latency

    Consumer class products such as retail cameras, require real-time input to enable seamless user experience. In our world, users expect zero latency between action (e.g., pick up a product) and response (e.g., product appears in online cart)


     

    Enhanced Privacy

    AI technology enables detect of unlawful activities as well as thorough analysis of consumer behavior without jeopardizing people’s privacy

     

    Point of Sale

    Valuable Store Visit

    Smart cameras and devices are increasingly used to make brick-and-mortar stores not only more efficient, but also safer in light of rising demand for contactless interactions.​

    The Hailo AI processors perform complex deep learning tasks such as object detection and classification, complex pattern recognition, pose estimation and facial recognition, to enable Point of Sale (PoS) applications such as:​

    • Pick & Go / cashierless stores – real-time product identification, accurate customer recognition, advanced payment methods, store security monitoring​
    • Automated checkout – near-zero misses and false identification of products and people for accurate and reliable checkout
    • The fully automated retail operation of the future – with front- and back-of-the-house populated robots navigating, sorting, picking and handling objects and interacting with humans ​

    Hailo AI processor can be designed into cameras, as well as deployed externally to empower existing devices with advanced AI capabilities in a cost-efficient manner. A single chip can power a system that spans the entire smart store, covering every angle and detecting the smallest products and gestures in real time.​


     

    Supply Chain Management

    Profitable & Secure Sales Operations

    Intelligent video analytics turn data into significant insights that translate into better performance for retail operations. Our customers use Hailo AI processor-powered intelligent cameras to perform deep learning tasks such as pose estimation, semantic segmentation, object detection, classification and facial recognition for meaningful applications such as:​

    • Customer flow analysis – people counting and store heatmaps provide insights and KPIs such as visit- and dwell- times​
    • Queue detection – manage wait times and service staff efficiently ​
    • Smart advertising – personalization and smart customer segmentation and targeting​
    • Store conversion – glance time and purchasing behavior analytics give context to sales numbers​
    • Shelf & inventory management – insights for visual merchandising, shelf management and stock management ​
    • Security & privacy – customer identification and identity authentication, intelligent store inspection for loss prevention ​
    • Safety – monitor social distance, alert about safety hazards like spills in the aisle​

    The advancement of AI in retail largely depends on the ability of an edge AI processor to natively support the key applications mentioned above in high-accuracy and in real-time, while securing people’s privacy. The Hailo processors provide high-resolution, high-frame rate neural processing that allows capturing the smallest objects in a wide area of interest, in high accuracy and real-time, with minimum false rate and maximum privacy. All this can be done using low-power and small size commercial or custom IP cameras.​

    source:
    https://hailo.ai/applications/retail/smart-retail/#scm


    專業文章

    應用案例

  • 首頁
  • 專業文章
  • 應用案例

    • AI In Smart Retail

    AI In Smart Retail

    Hailo AI Processor for Smart Retail


    AI-Powered Shopping Experience

    Smart retail is reshaping the traditional shopping landscape by leveraging AI to both improve the shopping experience as well as to empower businesses to remain competitive and attractive in light of the rising competition from online shopping platforms. AI is used to:
    • Streamline the shopping process with product and person identificatin, enabling fast, accurate and efficient checkout
    • Analyze vast amounts of customer data to help retailers understand consumer preferences and make data-driven decisions, predict trends, optimize inventory management, and create a personalized shopping experience
    • Improve the security of supply chain and shoppers alike, by identifying shoplifting and other potentially suspicious behavior

    A Smart Retail cctv camera in a grocery store.



    AI Benefits For Retail



    High Performance

    High AI compute capacity allows a jump in size and complexity of models and pipelines, enabling the usage of state-of-the-art models like SAM and CLIP which enable high granularity insights on store operations


     

    Low Latency

    Consumer class products such as retail cameras, require real-time input to enable seamless user experience. In our world, users expect zero latency between action (e.g., pick up a product) and response (e.g., product appears in online cart)


     

    Enhanced Privacy

    AI technology enables detect of unlawful activities as well as thorough analysis of consumer behavior without jeopardizing people’s privacy

     

    Point of Sale

    Valuable Store Visit

    Smart cameras and devices are increasingly used to make brick-and-mortar stores not only more efficient, but also safer in light of rising demand for contactless interactions.​

    The Hailo AI processors perform complex deep learning tasks such as object detection and classification, complex pattern recognition, pose estimation and facial recognition, to enable Point of Sale (PoS) applications such as:​

    • Pick & Go / cashierless stores – real-time product identification, accurate customer recognition, advanced payment methods, store security monitoring​
    • Automated checkout – near-zero misses and false identification of products and people for accurate and reliable checkout
    • The fully automated retail operation of the future – with front- and back-of-the-house populated robots navigating, sorting, picking and handling objects and interacting with humans ​

    Hailo AI processor can be designed into cameras, as well as deployed externally to empower existing devices with advanced AI capabilities in a cost-efficient manner. A single chip can power a system that spans the entire smart store, covering every angle and detecting the smallest products and gestures in real time.​


     

    Supply Chain Management

    Profitable & Secure Sales Operations

    Intelligent video analytics turn data into significant insights that translate into better performance for retail operations. Our customers use Hailo AI processor-powered intelligent cameras to perform deep learning tasks such as pose estimation, semantic segmentation, object detection, classification and facial recognition for meaningful applications such as:​

    • Customer flow analysis – people counting and store heatmaps provide insights and KPIs such as visit- and dwell- times​
    • Queue detection – manage wait times and service staff efficiently ​
    • Smart advertising – personalization and smart customer segmentation and targeting​
    • Store conversion – glance time and purchasing behavior analytics give context to sales numbers​
    • Shelf & inventory management – insights for visual merchandising, shelf management and stock management ​
    • Security & privacy – customer identification and identity authentication, intelligent store inspection for loss prevention ​
    • Safety – monitor social distance, alert about safety hazards like spills in the aisle​

    The advancement of AI in retail largely depends on the ability of an edge AI processor to natively support the key applications mentioned above in high-accuracy and in real-time, while securing people’s privacy. The Hailo processors provide high-resolution, high-frame rate neural processing that allows capturing the smallest objects in a wide area of interest, in high accuracy and real-time, with minimum false rate and maximum privacy. All this can be done using low-power and small size commercial or custom IP cameras.​

    source:
    https://hailo.ai/applications/retail/smart-retail/#scm


    專業文章

    應用案例

  • 首頁
  • 專業文章
  • 應用案例

    • AI In Smart Retail

    AI In Smart Retail

    Hailo AI Processor for Smart Retail


    AI-Powered Shopping Experience

    Smart retail is reshaping the traditional shopping landscape by leveraging AI to both improve the shopping experience as well as to empower businesses to remain competitive and attractive in light of the rising competition from online shopping platforms. AI is used to:
    • Streamline the shopping process with product and person identificatin, enabling fast, accurate and efficient checkout
    • Analyze vast amounts of customer data to help retailers understand consumer preferences and make data-driven decisions, predict trends, optimize inventory management, and create a personalized shopping experience
    • Improve the security of supply chain and shoppers alike, by identifying shoplifting and other potentially suspicious behavior

    A Smart Retail cctv camera in a grocery store.



    AI Benefits For Retail



    High Performance

    High AI compute capacity allows a jump in size and complexity of models and pipelines, enabling the usage of state-of-the-art models like SAM and CLIP which enable high granularity insights on store operations


     

    Low Latency

    Consumer class products such as retail cameras, require real-time input to enable seamless user experience. In our world, users expect zero latency between action (e.g., pick up a product) and response (e.g., product appears in online cart)


     

    Enhanced Privacy

    AI technology enables detect of unlawful activities as well as thorough analysis of consumer behavior without jeopardizing people’s privacy

     

    Point of Sale

    Valuable Store Visit

    Smart cameras and devices are increasingly used to make brick-and-mortar stores not only more efficient, but also safer in light of rising demand for contactless interactions.​

    The Hailo AI processors perform complex deep learning tasks such as object detection and classification, complex pattern recognition, pose estimation and facial recognition, to enable Point of Sale (PoS) applications such as:​

    • Pick & Go / cashierless stores – real-time product identification, accurate customer recognition, advanced payment methods, store security monitoring​
    • Automated checkout – near-zero misses and false identification of products and people for accurate and reliable checkout
    • The fully automated retail operation of the future – with front- and back-of-the-house populated robots navigating, sorting, picking and handling objects and interacting with humans ​

    Hailo AI processor can be designed into cameras, as well as deployed externally to empower existing devices with advanced AI capabilities in a cost-efficient manner. A single chip can power a system that spans the entire smart store, covering every angle and detecting the smallest products and gestures in real time.​


     

    Supply Chain Management

    Profitable & Secure Sales Operations

    Intelligent video analytics turn data into significant insights that translate into better performance for retail operations. Our customers use Hailo AI processor-powered intelligent cameras to perform deep learning tasks such as pose estimation, semantic segmentation, object detection, classification and facial recognition for meaningful applications such as:​

    • Customer flow analysis – people counting and store heatmaps provide insights and KPIs such as visit- and dwell- times​
    • Queue detection – manage wait times and service staff efficiently ​
    • Smart advertising – personalization and smart customer segmentation and targeting​
    • Store conversion – glance time and purchasing behavior analytics give context to sales numbers​
    • Shelf & inventory management – insights for visual merchandising, shelf management and stock management ​
    • Security & privacy – customer identification and identity authentication, intelligent store inspection for loss prevention ​
    • Safety – monitor social distance, alert about safety hazards like spills in the aisle​

    The advancement of AI in retail largely depends on the ability of an edge AI processor to natively support the key applications mentioned above in high-accuracy and in real-time, while securing people’s privacy. The Hailo processors provide high-resolution, high-frame rate neural processing that allows capturing the smallest objects in a wide area of interest, in high accuracy and real-time, with minimum false rate and maximum privacy. All this can be done using low-power and small size commercial or custom IP cameras.​

    source:
    https://hailo.ai/applications/retail/smart-retail/#scm


    專業文章

    應用案例

  • 首頁
  • 專業文章
  • 應用案例

    • AI In Smart Retail

    AI In Smart Retail

    Hailo AI Processor for Smart Retail


    AI-Powered Shopping Experience

    Smart retail is reshaping the traditional shopping landscape by leveraging AI to both improve the shopping experience as well as to empower businesses to remain competitive and attractive in light of the rising competition from online shopping platforms. AI is used to:
    • Streamline the shopping process with product and person identificatin, enabling fast, accurate and efficient checkout
    • Analyze vast amounts of customer data to help retailers understand consumer preferences and make data-driven decisions, predict trends, optimize inventory management, and create a personalized shopping experience
    • Improve the security of supply chain and shoppers alike, by identifying shoplifting and other potentially suspicious behavior

    A Smart Retail cctv camera in a grocery store.



    AI Benefits For Retail



    High Performance

    High AI compute capacity allows a jump in size and complexity of models and pipelines, enabling the usage of state-of-the-art models like SAM and CLIP which enable high granularity insights on store operations


     

    Low Latency

    Consumer class products such as retail cameras, require real-time input to enable seamless user experience. In our world, users expect zero latency between action (e.g., pick up a product) and response (e.g., product appears in online cart)


     

    Enhanced Privacy

    AI technology enables detect of unlawful activities as well as thorough analysis of consumer behavior without jeopardizing people’s privacy

     

    Point of Sale

    Valuable Store Visit

    Smart cameras and devices are increasingly used to make brick-and-mortar stores not only more efficient, but also safer in light of rising demand for contactless interactions.​

    The Hailo AI processors perform complex deep learning tasks such as object detection and classification, complex pattern recognition, pose estimation and facial recognition, to enable Point of Sale (PoS) applications such as:​

    • Pick & Go / cashierless stores – real-time product identification, accurate customer recognition, advanced payment methods, store security monitoring​
    • Automated checkout – near-zero misses and false identification of products and people for accurate and reliable checkout
    • The fully automated retail operation of the future – with front- and back-of-the-house populated robots navigating, sorting, picking and handling objects and interacting with humans ​

    Hailo AI processor can be designed into cameras, as well as deployed externally to empower existing devices with advanced AI capabilities in a cost-efficient manner. A single chip can power a system that spans the entire smart store, covering every angle and detecting the smallest products and gestures in real time.​


     

    Supply Chain Management

    Profitable & Secure Sales Operations

    Intelligent video analytics turn data into significant insights that translate into better performance for retail operations. Our customers use Hailo AI processor-powered intelligent cameras to perform deep learning tasks such as pose estimation, semantic segmentation, object detection, classification and facial recognition for meaningful applications such as:​

    • Customer flow analysis – people counting and store heatmaps provide insights and KPIs such as visit- and dwell- times​
    • Queue detection – manage wait times and service staff efficiently ​
    • Smart advertising – personalization and smart customer segmentation and targeting​
    • Store conversion – glance time and purchasing behavior analytics give context to sales numbers​
    • Shelf & inventory management – insights for visual merchandising, shelf management and stock management ​
    • Security & privacy – customer identification and identity authentication, intelligent store inspection for loss prevention ​
    • Safety – monitor social distance, alert about safety hazards like spills in the aisle​

    The advancement of AI in retail largely depends on the ability of an edge AI processor to natively support the key applications mentioned above in high-accuracy and in real-time, while securing people’s privacy. The Hailo processors provide high-resolution, high-frame rate neural processing that allows capturing the smallest objects in a wide area of interest, in high accuracy and real-time, with minimum false rate and maximum privacy. All this can be done using low-power and small size commercial or custom IP cameras.​

    source:
    https://hailo.ai/applications/retail/smart-retail/#scm


    專業文章

    應用案例

    關於三泰

    經營理念
    公司簡介
    品牌故事
    三泰核心價值
    發展歷史
    得獎
    專業認證
    環保政策
    人才招募

    產品資訊

    IoT 物聯網方案
    電腦擴充卡
    配件週邊

    商店

    PChome品牌館

    解決方案

    OCuLink 應用
    USB4
    智慧製造
    AI 推論加速
    金融
    POS零售/餐飲
    醫療與保健
    監控系統
    工廠自動化
    CANbus 應用
    交通與運輸
    公用事業
    Kiosk自助式服務

    新聞活動

    最新消息
    活動訊息
    專業文章

    影片

    AI人工智慧加速/應用
    商業&工業通訊自動化
    消費性電子產品
    三泰工廠

    服務支援

    聯絡我們
    驅動程式下載
    常見技術問題
    Q & A
    型錄下載
    工具
    三泰商標下載
    詞彙表
    符合性聲明書下載

    客製化服務

    我們的服務
    核心價值
    合作夥伴
    訂閱SUNIX  

    隱私權政策

    ©1986-2022 三泰科技股份有限公司 - 版權所有

    返回頂部
    訂閱SUNIX  

    隱私權政策

    ©1986-2022 三泰科技股份有限公司 - 版權所有

    返回頂部
    訂閱SUNIX  

    隱私權政策

    ©1986-2022 三泰科技股份有限公司 - 版權所有

    返回頂部