SiftAI® Foreign Material Detection System for Food Production
Improve the Safety, Consistency, and Quality of Food Products
Leveraging artificial intelligence, the SiftAI® Foreign Material Detection System is engineered specifically for hunting down things that don't belong. The detection systems are integrated into existing processes to automatically remove the foreign material from the production line or inspect incoming raw ingredients. SiftAI® Foreign Material Detection Systems are trusted by food producers and packers worldwide for identifying defects in free-flowing materials.
Features
- Unrivalled precision & accuracy
- Advanced technology accommodates natural variations
- Based on AI and Machine Learning technology
- Detect virtually any foreign material
- Best model performance - regular model updating
- Outstanding data accessibility
- Small footprint
Benefits
- Identifies difficult objects such as hair, plastic, cardboard, indigenous materials and metal.
- Handles products with mass variation while accommodating products with natural variations with industry-leading precision.
- SiftAI’s software is updated frequently by a team of engineers to ensure the highest standard of accuracy is being maintained.
- Our system provides continually-updated data about the products that are evaluated by SiftAI's cameras (such as foreign objects logs, defect logs, throughput metrics, and size distributions).
- The SiftAI technology is small and is easily installed above your existing conveyor or rejection system.
Applications
SiftAI's foreign material detection abilities can be applied to any food manufacturing category. Whatever product you deliver, SiftAI can improve the safety and consistency of your lines. Don't let foreign material go undetected in your facility!
Typical Applications
- Beef Processing
- Poultry Processing
- Shrimp
- Other Fish & Meat Products
- Potatoes
- Fruits & Veggies
- Nuts & seeds
- Individually Quick Frozen (IQF) ingredients, e.g.:
- ~diced potatoes
- ~diced onions
- ~ chopped almonds
- Incoming ingredients (e.g. flour, sugar, etc.)
- Confectionery Items (e.g. marshmallows)
- And more - talk to us about your applications
For detailed information about how SiftAI® can assist with food safety and quality control of specific food products, visit the individual application pages, starting here: Food & Beverage Segments.
Common System Configurations
Communication Throughout the Process
Vision-Based Lane Balancing
How It Works
KPM makes use of the latest and greatest technologies including Deep Learning. From years of experience, our engineers are able to find a solution to fit even the most complex and unique challenges faced by customers.
Foreign Material Detection Made Smarter
The SiftAI® Foreign Material Detection system is a powerful machine vision platform that offers superior vision inspection, leveraging artificial intelligence to train models for any product requiring inspection.
Setting up the SiftAI® Foreign Material Detection System is simple for manufacturers. First, product is distributed under theSiftAI® to record images of acceptable products. These images are sent to the KPM Analytics team of vision experts who then train the system to decipher acceptable product versus foreign objects, creating an AI model. Once trained, the AI model is delivered to the SiftAI to use on the production line.
SVW AI systems are trusted by customers worldwide for identifying defects in free-flowing materials. These materials can be presented under the camera in diverse ways, such as on shaker tables and on high-speed belts, which help spread out the material for efficient and accurate inspection.
Our versatile system ensures precise defect detection regardless of the presentation method, offering reliable solutions to customers across the globe.
Automated Ejection or Diverting of Unsatisfactory Products
Once the SiftAI® system is installed, there are multiple ways to reject variances from the product stream. KPM Analytics offers flexible options, providing a simple signal that can seamlessly integrate with the facility’s existing rejection systems. Moreover, we can deliver a comprehensive solution, including custom rejection equipment, ranging from sweep arms to sophisticated integration with robotics. Our goal is to cater to diverse needs and offer solutions tailored to each customer’s requirements.
System Components
The SiftAI® advanced machine vision platform is a compact system comprised of cameras, lighting, software and computer hardware.
Easy Integration with Existing Systems
SiftAI® Foreign Material Detection Systems are thoughtfully designed for easy installation above existing manufacturing setups. The camera systems are modular, allowing them to be customized to fit any belt width. Once a system is installed, there are multiple ways to reject products from the production stream, such as a simple signal that can seamlessly integrate with the facility’s existing rejection systems, or a custom rejection solution, ranging from sweep arms to sophisticated integration with robotics.
Detection Examples
Below are examples of different materials and defects found by the SiftAI® system in various food processes. Foreign materials can be detected in virtually any food product - contact us to discuss your specific application.
Click the images to enlarge the photos.
Below are examples of different materials and defects found by the SiftAI® system in various food processes. Foreign materials can be detected in virtually any food product - contact us to discuss your specific application.
Click the images to enlarge the photos.
Software
Operator Interface
The Human Machine Interface (HMI) is located at the line. Operators can watch a real-time stream of the product and review any detected foreign materials when they happen at the inspection point.
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Labeling Example - Cotton Glove
Review the foreign material detected and apply the appropriate label directly at the Operator Interface at-line.
Here you can see a glove that was detected by the system and flagged as foreign material. Once it was flagged, it was rejected from the product stream.
Labeling Example - Operator Hand
Review the foreign material detected and apply the appropriate label directly at the Operator Interface at-line.
Here you can see the operator hand passed under the camera, triggering the system to identify it as something abnormal in the production stream.
Analytics
From the Operator Interface, operators can view historical information for each batch and review images of the foreign materials detected.
The analytics report can be viewed on any device on the network or via secure portal.
Supervisor Login
Access to the system settings is restricted to authorized users.
Health Check Report
This consolidated management report lets you know about the foreign materials detected on each line, in each plant for a selected time frame.
Specifications
Resources
We've highlighted a few knowledge center resources here to help you understand the product better. Please also visit our Knowledge Center for additional information and downloads, and don't forget that our team is always happy to answer any questions you have.
Additional Reading
