from trimming variation and excessive backstrap removal. FloVision AI employs compact scanners to provide station and floor managers with real-time oversight of their production lines, enabling them to step in when these issues arise. The dashboard, FloVision Analytics, evaluates each backstrap and compares its dimensions against the specification; any primals falling outside the spec are gathered into a report and assessed for opportunities to implement new process improvements and butcher training.
Beyond trimming to a defined width, primal backstraps must be trimmed uniformly across the entire primal to satisfy customer specifications. Trimming irregularities that produce an uneven backstrap width along the primal can lead to lost yield and reduced profit for meat processors. FloVision AI deploys compact sensors at butchering stations to give operations staff real-time visibility into these cuts as they happen. The analytics dashboard, FloVision Analytics, captures the widest and narrowest points on the backstrap and delivers traffic light grading (red, amber/yellow, green) based on the degree of variation between those measurements. This feedback is shared with butchers and managers instantly, and assembled into a detailed report to uncover butchering patterns and recommend strategies for enhanced yield.
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