Development Background
Initially, we observed that many small and medium-sized food processing plants still rely on manual sampling or semi-automated weighing machines for quality inspection. However, these traditional methods lack effective mechanisms for data storage and analysis, resulting in inspection results that are only available in real-time and cannot be preserved for long-term use or in-depth analysis. This limitation makes it difficult for factories to accumulate historical data for monitoring production line conditions, predicting equipment issues, and optimizing product quality or process efficiency.
Further investigation revealed that small and medium-sized food processing plants commonly face the following challenges or pain points:
how can small to medium-sized food processing Plants address the challengesor pain points?
Let us propose a solution!
Based on these challenges, we believe that digital transformation is imperative for small and medium-sized food processing plants.
Therefore, we have introduced InnoWeigh , an intelligent weight inspection product designed to address the pain points of current inspection methods in small and medium-sized food processing plants and help businesses enhance production efficiency and quality management capabilities.
InnoWeigh -
Empowering small and medium food processors for intelligent production!
By adopting the cost-effective and user-friendly InnoWeigh , businesses can overcome the limitations of traditional methods, not only improving data management and analysis capabilities but also optimizing production efficiency, ensuring product quality stability, and ultimately strengthening market competitiveness, paving the way for intelligent production in the future.
So, why choose to use
InnoWeigh? Dose choosing
it benefit our company?
Of course!
Because InnoWeigh offers the following advantages and features.
Tailored Smart Upgrade Solution for SMEs
Designed specifically for small and medium-sized food processing plants, the product addresses key pain points, such as high manual error rates, low inspection efficiency, and inadequate data management. It aligns with increasingly stringent food safety regulations and market demands, enabling businesses to achieve digital transformation, ensure consistent quality, and build stronger market trust under limited resources.
Data-Driven Transparency and Decision Support
The system enables automated data storage and centralized management, with real-time updates visualized on a user-friendly dashboard. This includes weight trend analysis, anomaly ratios, and production efficiency insights, providing managers with a comprehensive view of production status to support precise decision-making and continuous process optimization.
Cost-Effective and High-Efficiency Solution
Built on open-source hardware and AWS Database, this product offers low hardware costs and easy installation and maintenance, making it ideal for small and medium-sized food processing plants with limited budgets. Its modular design reduces the entry barrier, helping businesses control long-term operational costs while enhancing inspection efficiency and overall production performance.
Flexible Scalability and
Smart DevelopmentPotential
With its modular architecture, the system supports versatile function expansions, such as visual inspections, AI-driven predictive models, and environmental sensor integrations, catering to long-term smart manufacturing needs. Through AWS Cloud, cross-factory data synchronization and cloud management are achieved, empowering businesses to adapt to the smart factory trend and boost market competitiveness.
