KPM Analytics Upgraded Industrial Detection Platform
Food processors using the SiftAI FM HD can now leverage improved AI models to boost foreign material detection accuracy.
Updated on Sept. 29, 2026 in Consumer Goods
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KPM Analytics has released an upgraded version of its SiftAI FM HD foreign material detection platform to enhance product safety. The update targets improved accuracy for products with natural color and texture variation.
Why it matters
Manufacturers face pressure to reduce manual inspection labor and improve contaminant detection. These hardware and software improvements help operators process products with higher variability while maintaining high hygiene standards.
Dynamic Conveyor systems offer a wide range of integration options, spanning widths from 1 inch to 60 inches and lengths reaching 150 feet. These specs reflect the need for scalable equipment that accommodates varied facility layouts.
The players
KPM Analytics
A provider of instrumentation and software solutions for industrial quality control and process monitoring.
Dynamic Conveyor
A manufacturer of modular, customizable industrial conveyor systems designed for food safety compliance.
Eagle Product Inspection
A developer of X-ray and inspection technology focused on automating food and beverage safety processes.
The details
The updated SiftAI FM HD integrates a redesigned lighting system aimed at increasing image clarity and minimizing noise caused by surface reflectivity. Complementing this, manufacturers such as Dynamic Conveyor utilize modular, metal-free designs in the detection zone to ensure seamless integration with sensitive inspection hardware. These tools collectively aim to automate the detection of foreign materials early in the production line.
Timeline
The SiftAI FM platform was originally introduced in 2022.
The new SiftAI FM HD version was released in September 2026.
Market Landscape
This release marks an evolution of the SiftAI FM foreign material detection platform first introduced in 2022. It follows an industry trend toward integrating AI-driven inspection with physical infrastructure designed to eliminate detection blind spots.
Operators should review whether current lighting and imaging setups create noise that limits AI detection efficiency. Assessing the modularity of existing conveyors is essential to determine if they can integrate with updated, high-sensitivity inspection systems.
The takeaway
Advancing detection accuracy requires both better AI modeling and optimized hardware environments. Facilities should monitor the clarity of their imaging data to ensure it meets the sensitivity thresholds of newer detection systems.
Further reading
For more on evolving safety standards and equipment, explore our Consumer Goods section.
Source note: This article includes information reported by Dairy Foods Magazine.
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