
SiftAI
AI vision inspection for foreign-object detection and food grading
About
SiftAI, from Smart Vision Works (a KPM Analytics brand), is an AI-based machine-vision inspection system for food processing lines. It combines cameras, AI software, conveyors and automatic ejection to detect foreign material and grade product defects in a single pass, and a robotic-sorter variant picks out off-grade potatoes at up to 80-100 picks per minute.
Strengths: purpose-built for food with real deployment history in potato processing and reported throughputs around 63,000 kg/hour. Limitations: it's industrial hardware with industrial pricing and long sales cycles, and it solves one station on the line rather than end-to-end food safety.
What it can do
- AI foreign-object detection
- automated product grading
- robotic ejection and sorting
- single-pass inspection
- throughput-optimized conveyor integration
- quality reporting
Setup
- Contact Smart Vision Works at smartvisionworks.com
- Run a product sample evaluation with their team
- Install cameras, conveyor and AI system on the line
- Tune grading models and monitor rejects and throughput
Prerequisites
Food processing line; commercial agreement
Use cases
Works with
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: Smart Vision Works AI vision inspection, SiftAI potato sorter verified via trade press; Now a KPM Analytics brand; single-pass inspection + robotic ejection verified; Industrial hardware pricing; solves one line station. License: Proprietary hardware + software.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 6.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · Smart Vision Works AI vision inspection, SiftAI potato sorter verified via trade press
- · Now a KPM Analytics brand; single-pass inspection + robotic ejection verified
- · Industrial hardware pricing; solves one line station
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.