Capgemini and SEeMAx improve automated egg quality detection for Rica Granja – Capgemini

t had previously been downgraded from consumption grade to food-industry grade. Additionally, Rica Granja has now improved the speed with which it performs this analysis, spending only 40 milliseconds on each egg to create 36 images, resulting in the processing of 270,000 eggs per hour.
Sustainable AI
Beyond the clear industrial benefits and overall productivity that the implementation of this deep learning artificial intelligence solution has enabled, the green AI approach that was utilized also led to greater energy efficiency per egg produced, reducing the carbon footprint of SEeMAx’s egg

原文链接:https://www.capgemini.com/news/client-stories/capgemini-and-seemax-improve-automated-egg-quality-detection-for-rica-granja/

Innovative Solutions for the Egg Industry | SANOVO TECHNOLOGY GROUP | Sanovo Technology

an bring in delivering both excellent efficiency, as well as new, higher levels of quality for our customers. We were impressed by the GraderPro 800’s versatility, its traceability and its approach to maintenance and hygiene.”
– Elwyn Griffiths, Oaklands Farm Eggs Ltd.
Technology Highlight
Vision AI in Egg Grading
Contactless vision weighing, crack & leak detection module based on vision technology
Vision AI uses advanced image analysis to evaluate each egg without mechanical contact. Weight, cracks, leaks, and quality parameters are assessed in real time, ensuring consistent classification

原文链接:https://www.sanovogroup.com/en/

Doubao MCP Agent

Doubao MCP Agent
A local skill assistant based on the Model Context Protocol that integrates with the Volcengine Doubao API to provide tools like calculators and weather queries. It features a Web interface and a modular architecture that allows developers to easily register and deploy custom local AI skills.
Category
README
豆包本地技能助手
一个基于 MCP (Model Context Protocol) 协议的本地技能助手,支持计算器、天气查询等自定义技能,提供 Web 界面和 API 接口。
项目结构
d:\agent\
├── .env # 大模型api配置
├── in

原文链接:https://himcp.ai/server/doubao-mcp-agent

火山引擎-你的AI云

火山引擎 你的AI云
模型、工具、应用到云底座,企业 AI 一站构建
Seedance 2.5上新,30s超长叙事
Seed Evolving 模型上线,高频迭代
Seedance X 周星驰经典电影 IP
方舟 Agent Plan 首月 9.9 元起
企业级 AI Agent 平台
Seedance 2.5上新,30s超长叙事
Seed Evolving 模型上线,高频迭代
Seedance X 周星驰经典电影 IP
方舟 Agent Plan 首月 9.9 元起
企业级 AI Agent 平台
Seedance 2.5上新,30s超长叙事
选择合适模型构建 探索企业落地实践
通过 火山方舟
开启一站式大模型服务
通过方舟 CLI 在

原文链接:https://www.volcengine.com/

国产大模型工业化转型:豆包2.0如何定义“数字员工”新范式_豆包数字员工-CSDN博客

稳定性提高60%。
2. 开发效率革命
豆包2.0与TRAE深度集成,重新定义软件工程流程。程序员通过自然语言描述需求,AI自动完成架构设计、代码编写、测试部署全流程,开发周期从月级压缩至天级。
3. 垂直行业深度适配
在医疗、金
融、制造等长尾领域补充知识,数字员工成为具备行业专家能力的“超级员工”。
标签
#人工智能
目录
一、技术背景:从参数竞赛到产业落地
二、架构解析:原生Agent实现自主执行
三、成本革命:1/10推理成本的技术路径
四、应

原文链接:https://blog.csdn.net/m0_56699208/article/details/158179437

火山引擎发布豆包多款大模型,以多模态AI矩阵加速行业智能化进程-新华网

2025 05/14 12:57:13
来源:新华网
火山引擎发布豆包多款大模型,以多模态AI矩阵加速行业智能化进程
2025-05-14 12:57:13 来源:新华网
5月13日,火山引擎在“FORCE LINK AI创新巡展·上海站”上,正式发布豆包·视频生成模型Seedance 1.0 lite、豆包1.5·视觉深度思考模型,并升级豆包·音乐模型。此次发布通过构建更全面的AI模型矩阵和智能体工具,进一步推动企业从业务到智能体的全链路应用落地,助力多行业智能化转型。
发布豆包·视频生成模型Seedance 1.0 lite,

原文链接:http://www.news.cn/tech/20250514/6b7ffcfae5b7418d9b7d901196e6d6f9/c.html

YonSuite高科技离散制造解决方案:从研发协同到质量追溯的全链路数智化应用

实质上是产品、订单、物料、工艺、现场与资金没有围绕同一条经营主线运行。
本文系统梳理YonSuite在高科技离散制造领域的六大核心业务关联、三类典型应用场景、客户实践数据及AI升级路径,帮助企业理解从研发协同到质量
溯的全链路数智化如何落地。
一、高新离散制造的管理复杂度正在重新定义ERP
传统制造以规模化、标准化和稳定批量为主要特征,管理重点是把既定计划执行得更稳定。高新离散制造的经营逻辑则不同:
对比维度 传统制造 高

原文链接:https://www.yonsuite.com/news/7184.html

豆制品生产过程智能化改造方案.docx – 人人文库

具箱”:物联网传感器能实时监测浸泡罐的温度、pH值,数据上传至云端后,AI算法自动调整浸泡参数;机器视觉系统能识别黄豆的霉变颗粒,剔除精度达
正常运转,订单不降反增。从行业生态看,智能化催生了“共享工厂”“云制造”等新模式:中小作坊无需投入巨资购买设备,可通过租赁智能化生产
,设备利用率从60%提升至90%,单位生产成本降低了25%。这种趋势让我看到:豆制品行业的智能化,不是“大企业的专利”,而是中小企业的“普惠机遇

原文链接:https://www.renrendoc.com/paper/464921543.html

AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance.

Source: PubMed Frontiers in nutrition
2025;12 1553942.
AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance.
Kushagra Agrawal, Polat Goktas, Maike Holtkemper, Christian Beecks, Navneet Kumar
Author Information
Kushagra Agrawal: School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India.
Polat Goktas: UCD School of Computer Science and CeADAR, University College Dublin, Belfield, Dublin, Ireland.
Maike Holtkemper: Faculty of Mathematics and Computer Science, FernUniversität in Hagen, Hagen, Germany.
Christian Beecks:

原文链接:https://ngdc.cncb.ac.cn/openlb/publication/OLB-PM-40181942

2026-2034 年全球豆腐市场规模、份额、趋势和行业预测

值
CAGR (2026-2033)
3.3%
预期增长率
主要应用: Restaurant, Food Factory, Others
主要类型: Processed Tofu, Unprocessed Tofu
关键人物: Hain Celestial, House Foods Group, MORINAGA, Pulmuone, VITASOY
重点地区: North America (U.S, Canada, Mexico), Europe (Germany, United Kingdom, Franc
成式人工智能有望通过改变产品开发、供应链管理和消费者参与来显着影响豆腐市场。人工智能驱动的配方工具使制造商能够以前所未有的精度优化大豆蛋白混合物的质地、风味和营养成分,从而缩短研发周期并促进创新。例如

原文链接:https://www.verifiedmarketreports.com/zh/product/tofu-market/