AI Powered Autonomous Food Safety Management with Anomaly Detection

Primority是一家总部位于英国的食品安全解决方案公司，帮助英国一些最知名的食品品牌根据全球食品安全标准和国家食品安全法律管理食品安全信息。他们的3iVerify解决方案已经通过在线、协作的供应商和食品材料审批、纠正行动管理、文档管理和人工智能支持的供应链数据收集和处理来管理食品供应链信息，并使用独特的异常检测技术来帮助预测供应链中的食品安全风险(AI扫描)。我们希望通过开发进一步的人工智能和异常检测技术，进一步构建我们现有的创新英国资助的AI扫描解决方案，以提高食品安全和行业竞争力，降低食品安全、来源和欺诈风险。该项目专注于将人工智能(AI)生成的食品安全和威胁数据整合在一起。异常检测(AD)技术和新的人工智能供应链和流程建模工具，以自动生成、管理和监控强制性HACCP(危险分析关键控制点)和TACCP(威胁分析关键控制点)管理系统。我们将通过应用人工智能和机器学习(ML)算法来实现这一点，这些算法已被证明适用于航空和食品供应链以及食品加工和生产数据，通过新的供应链流程模型自动创建HACCP、VACCP和TACCP管理系统，该模型将自动识别供应链和生产和分销过程中的食品安全危害和威胁。这将对食品公司产生积极影响通过大幅缩短推出新产品所需的时间，并管理现有产品的食品安全、质量和来源风险，食品公司将受益于“上市”成本、上市时间和食品召回、撤回和拒收风险的降低，此外还将降低因违反法律而被起诉的风险。零售商将对其供应商更有信心，消费者将从更安全的食品供应链中受益，并保护他们的品牌声誉。这项计划将有助于加快食品产品创新，同时减少食品安全、欺诈和故意污染风险，保护其品牌声誉，并通过减少食品召回风险，积极影响食品浪费和食品回收成本，从而提高食品公司的竞争力。

Primority is a UK based food safety solutions company that helps some of the UK's best known food brands manage food safety information to global food safety standards and national food safety laws. Their 3iVerify solution already manages food supply chain information through online, collaborative supplier and food material approvals, corrective action management, document management and AI powered supply chain data gathering and processing with unique anomaly detection technology which helps predict food safety risks in the supply chain (AI Scan).We wish to build further on our existing, Innovate UK funded, AI Scan solution by developing further Artificial Intelligence and Anomaly Detection Technologies to improve food safety and industry competitiveness and reduce food safety, provenance and fraud risks.This project focuses on bringing together Artificial Intelligence (AI) generated food safety and threat data, Anomaly Detection (AD) technology and a new AI supply chain and process modelling tool to automate the generation, management and monitoring of mandatory HACCP (Hazard Analysis Critical Control Points) and TACCP (Threat Analysis Critical Control Points) management systems.We will do this by applying AI and Machine Learning (ML) Algorithms, already proven to work with in aviation and in the food supply chain and food processing and production data, to automate the creation of the HACCP , VACCP and TACCP management system through a new supply chain process model which will automatically identify food safety hazards and threats both in the supply chain and in production and distribution processes.This will have a positive effect on food companies, retailers and consumers by dramatically reducing the time taken to launch new products and manage the risks to food safety, quality and provenance of existing products.Food companies will benefit from a reduction in 'go to market' costs, time to market and food recall, withdrawal and rejection risk in addition to reducing the risk of prosecution for non compliance with the law. Retailers will have greater confidence in their suppliers and consumers will benefit from a safer food supply chain and protect their brand reputation.This project will help make food companies more competitive by helping speeding up food product innovation whilst reducing food safety, fraud and intentional contamination risks whilst protecting their brand reputation and positively impact food waste and food recall costs by reducing the risk of food recalls.