AUTONOMOUS AI BASED MONITORING AND IMPROVEMENT OF PACKAGING AND LABELING FOR MEAT PROCESSING

The meat processing industry faces common quality problems in product packaging and labeling, which can lead to health safety issues, regulatory non-compliance, and meat recalls. SMMPPs expend considerable expense on workers to inspect each package. But this approach is expensive, and besides, COVID has exposed challenges both with worker proximity as well as availability. A fully automated solution would therefore greatly improve SMMPPs capabilities.Vimaan proposes to use its autonomous Computer Vision and Artificial Intelligence platform to solve this problem. Vimaan will implement its technology at the packaging and labeling process steps during processing to enable 100% real-time automated inspection of each package for compliance. This will highlight quality issues as they occur, which will in turn enable SMMPPs to reduce waste, improve product tracking and traceability, and ultimately improve quality, and safety. Vimaan's autonomous solution for monitoring, tracking and tracing would help SMMPPs build resiliency over the longer-term, as shown by larger processors.Vimaan will work with its two partner SMMPPs to conduct a pilot project in an actual meat processing environment to demonstrate the technology capability at scale. Metrics to assess the solution's efficacy will be identified and tracked during the pilot project. Using these metrics, the performance of the production line using Vimaan's technology will be compared against existing manual quality processes currently in place at the processor.The pilot project will allow Vimaan to reach a TRL 9. As part of the project, Vimaan will also pursue broader commercialization of the technology across the domestic SMMPP sector by conducting ROI and techno-economic analyses to identify the value proposition, generate a go-to-market plan and initiate business development activities with various target SMMPPs.