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Corerain Technologies is a leading Artificial Intelligence (AI) chip and solutions company, specializing in pioneering reconfigurable streaming AI chip technologies and providing integrated hardware and software turn-key solutions for smart cities, smart energy, EHS management and smart manufacturing.

Smart Factory | Corerain x Shanghai Ezaki Glico Food Factory

Client Profile

As is widely recognized, food safety is a top priority for people‘s wellbeing and an inviolable lifeline for brands. Any safety incident can instantly erode consumer trust in food and beverage brands, causing incalculable losses. Production safety, meanwhile, is the fundamental safeguard for employees’ lives and the cornerstone of stable factory operations.


Shanghai Ezaki Glico Foods Co., Ltd. is a wholly-owned subsidiary of Japan‘s Ezaki Glico Co., Ltd. in China. Founded in 1995, the company owns well-known snack brands including Pocky, Pejoy, and Pretz. It operates two intelligent food production factories in Shanghai’s Minhang and Fengxian districts and was selected as one of the “Top 50 Enterprises in China‘s Light Industry Food Sector for 2024.”Against the backdrop of the Ministry of Industry and Information Technology’s push for digital transformation in the consumer goods industry, the “Digital Three Products” initiative—covering digital product variety expansion, digital quality improvement, and digital brand building—has become a critical pathway for high-quality development in the food sector. Corerain‘s project for Glico, titled “Intelligent Early Warning Empowering Food Safety Trusted Traceability,” was successfully selected for the MIIT’s “2025 Typical Digital Transformation Cases (Digital Three Products Direction)” list.


Business Challenges

关键卫生工序缺乏有效监管,执行率难以保障
Lack of Effective Supervision Over Critical Hygiene Procedures, Execution Rate Hard to Guarantee
In food clean zones, workers must complete six hygiene procedures—including lint removal—before entering or exiting the workshop; these procedures represent the first line of defense in food hygiene. However, traditional manual inspections cannot verify every worker‘s operational steps in real time and with full coverage. Procedure execution relies heavily on worker self-discipline, creating risks of incomplete execution and high missed-detection rates.
车间安全管理依赖事后追溯,缺乏事中干预能力
Workshop Safety Management Relies on Post-Incident Tracing, Lacking Real-Time Intervention Capability
Failing to hold the handrail while climbing stairs—a seemingly minor behavior—is a leading cause of fall injuries in factories. Traditional video surveillance can only “record” rather than “recognize,” leaving safety management stuck at the “post-incident accountability” stage, unable to intervene or correct risks the moment they occur.

Application Solution

Based on its self-developed reconfigurable dataflow AI chip, the CAISA 430, Corerain built a fully integrated intelligent video analytics system for Glico’s factories. In stairwell areas, the system deploys dual detection zones to precisely identify workers’ hand movements and positions. If it determines that a worker has not held the handrail throughout the entire ascent or descent, an IP audio speaker issues an alert within one second, while a pop-up notification appears simultaneously on the platform. For the lint removal procedure, the system uses dual cameras capturing footage from both the front and back. Through a three-layer algorithm stack—human body detection, multi-target tracking, and behavior recognition—it determines in real time whether operators have correctly completed the six steps: head, shoulders, arms, chest, back, and legs. If steps are performed in the wrong order or the total time falls below the standard, the system immediately triggers voice reminders and tiered alert push notifications, ensuring issues are corrected and closed out at the earliest possible moment. The system automatically generates structured electronic records of all operations, integrating them into the food safety traceability system, forming a modern management model of "intelligent monitoring + data traceability + full-process trackability + closed-loop management."


Production line procedures and process rules are not static. Today the system needs to recognize handrail holding and lint removal; tomorrow it may need to expand to rodent prevention, fly control, and foreign object intrusion detection. If the underlying computing architecture lacks agile reconfigurability, adding or replacing an algorithm would require re-adaptation or even hardware replacement—a heavy burden for enterprises and a barrier to long-term digital and intelligent transformation. Corerain's CAISA architecture offers strong general-purpose computing capabilities, and its comprehensive toolchain and software support rapid expansion—beyond vision, the platform supports deployments of large models, OpenClaw, agents, and other applications, enabling long-term agile iteration, cost reduction, and efficiency improvement.Built on the CAISA reconfigurable dataflow architecture, the chip achieves a utilization rate of up to 95.4%. At just one-third the cost of comparable products, it delivers over 4.12 times the measured performance of traditional GPU solutions at equivalent concurrency densities, significantly reducing total cost of ownership. 



Implementation results

系统对洁净区粘毛发全流程实现7×24小时智能监测。上线后,粘毛发规范执行率从人工巡查阶段的约85%提升至99%以上,违规漏检率从15%降至2%以内。操作流程实现100%结构化记录,自动生成电子档案,使生产全程可追踪、可复盘、可校验,为食品安全构筑了完整可信的链路证据。
The system provides 24/7 intelligent monitoring of the entire lint removal process in clean zones. Since deployment, lint removal procedure compliance has increased from approximately 85% under manual inspections to over 99%, while the violation missed-detection rate has dropped from 15% to under 2%. The system automatically generates structured electronic records for 100% of operational procedures, making the entire production process traceable, reviewable, and verifiable—building a complete and trustworthy chain of evidence for food safety.
系统在楼梯区域实现秒级识别与即时报警,将微小违规行为在酿成事故前予以阻断。安全生产从管理口号变成了可执行的技术方案,每一步操作都通过AI实时识别和语音提醒融入作业流程。
In stairwell areas, the system achieves second-level detection and instant alerts, stopping minor violations before they escalate into accidents. Production safety has evolved from a management slogan into an executable technical solution—every operation is now integrated into the workflow through real-time AI recognition and voice reminders.

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