Optimizing the flow of product through your production line is key to driving profit. Installing an in-line or over-line Automated Inspection System at one or more points serves to identify nonconforming items based upon a range of customizable test criteria, and when coupled with the right Automated Sorting Process, can radically increase throughput efficiencies and the quality of your product. These Automated Inspection Systems, such as the ones produced by EyePro System and Sightline Process Control brands, incorporate high-speed cameras with imaging software to detect and measure objects at full-line speeds.
Description
100% Vision Inspection for Food Manufacturing
The Sightline In-Line Vision Inspection Solutions are designed to be quickly installed into any new or existing production line. These turn-key solutions offer 3D, full color, 360-degree product quality inspection solutions capable of extracting multiple quality parameters simultaneously at speeds of up to 100 objects per second. For advanced process control, each system is equipped with a conveyor, cameras selected for your specific application, a choice of rejection options, and our proprietary measura® software suite.
Features
- Integrates seamlessly into existing production lines
- 100% inspection with rejection, up to 100 objects/second
- Variable speed inspection conveyor included
- Operator Interface included for full control at the line
- Various rejection mechanism choices
- Supports multiple camera and lighting types
- Optional bottom and side cameras enable complete 2D & 3D measurement capabilities.
- Built-in library with 150+ measurements and growing
- Generates production metrics (uptime, throughput, etc.)
- Models available: IL-300 to IL-2000
Benefits
- Know more about your product compared to manual methods
- Make quick decisions and adjustments to the production line using the analysis data
- Ensure that only products meeting your specifications reach the customer
- Ensure consistent product quality between batches, shifts, and sites
- Save costs and reduce waste, which improves your company’s bottom line
- Protect your brand by meeting consumer expectations consistently
- Save time with reporting, all results are saved & organized
- Achieve competitive advantages
Typical Applications Include:
- Measurement of physical product attributes such as shape, size and color of baked goods, meat, poultry, cheese, eggs, fruit, vegetables and pet food to detect quality issues
- Identification and rejection of non-conforming products from the production flow
- Detection of foreign objects
- Generation of production metrics (item counts, uptime, throughput, etc.)
Finished Product Examples:
- Packaged foods (deli meats, raw meat & poultry, vegetables, etc.)
- Prepared Foods (folded eggs, prepared meals, etc.)
- Snack Foods (snack bars, pretzels, potato chips, French fries, desserts, chocolates, candies, etc.)
- Cheese Products (blocks, snack pieces, wax covered, etc.)
- Frozen pizza and pizza bases
- Pet food and treats
Real-Time Analysis, Inspection, & Statistical Control
Automated Vision Inspection is a technology-driven solution that utilizes cameras and image processing algorithms to inspect and analyze food products for quality control purposes. The system detects defects, anomalies, and inconsistencies in food items, ensuring that only products meeting the required standards are allowed to proceed further in the production process.
Here’s a general overview of how our vision inspection systems for food production typically work:
Image Acquisition
The system consists of one or multiple high-resolution cameras strategically positioned along the production line. These cameras capture images or videos of the food products as they move through the line. The cameras capture the images of the food items from different angles, illuminations, or wavelengths, depending on the specific inspection requirements. The lighting conditions are carefully controlled to enhance visibility and highlight potential defects.
Image Processing
The captured images are then processed using sophisticated algorithms and computer vision techniques. The processing software, measura® Inspection, analyzes the images to extract relevant features and identify potential defects or quality issues. The algorithms can be pre-trained using machine learning or artificial intelligence techniques to recognize specific patterns, shapes, colors, or textures.
Defect Detection
The captured images are analyzed for any deviations, defects, or abnormalities that may indicate a product is non-compliant. Common defects that can be detected include discolorations, misshapen products, foreign objects, damaged packaging, missing labels, or contaminants.
Decision Making & Rejection
Based on the analysis results, the vision inspection system makes decisions about the quality and suitability of the inspected food products. It classifies the items as either acceptable or unacceptable based on predetermined criteria. Upon detecting a defect, the system can trigger alerts or automatically remove the faulty product from the production line.
Data Logging and Reporting
The IL-Series Vision Inspection System provides real-time feedback on the quality of your products. By analyzing the collected data, it can generate detailed reports and statistics, highlighting the overall quality of the production batch. This information enables your quality control personnel to make informed decisions regarding the acceptance or rejection of products, and to implement corrective measures to improve the production process if necessary.
Integration with Production Line
The vision inspection system can be seamlessly integrated into the food production line. It can interface with other equipment or control systems to enable real-time feedback and process optimization. For instance, the system can communicate with real-time process monitoring dashboards, robotic arms, and conveyors to divert defective products automatically, ensuring that only high-quality items proceed further in the production process.
By implementing a vision inspection system, food producers can enhance quality control, reduce waste, increase productivity, and ensure compliance with regulatory standards. These systems play a crucial role in maintaining the integrity and safety of food products before they reach consumers.
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