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For Logistics and Manufacturing
Deliver Top Performing Computer Vision in Hours
Leverage Generative AI and Synthetic Data to increase efficiency and reduce cost.
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Vision
Vision AI Needs a lot of data but no one said it had to come from real photos...
Data Generation
Faster time to value
Reduce data collection time and cost by creating thousands of synthetic images from only 5-10 real images.
Dataset Improvement
Higher accuracy
Improve the quality of your dataset by finding and creating the images you are missing for a high performing model.
Instant Adaptability
Reduce downtime
Adapt quickly to new products, defects, and process changes by generating synthetic data and retraining your model on the fly.
Feature highlight
Product demo
Discover the key features and benefits that make our solution stand out.
Proof of efficiency
Case studies
These stories showcase real achievements of our clients and demonstrate the effectiveness of our solutions in practical scenarios.
Advex Case Study:
Accurate Automated Truck Unloading
PROBLEM: Can’t Handle Diverse Packages / Boxes
Fortune 500 logistics firm could only achieve an F1 accuracy of 55% on diverse customer parcels despite having 10,000 images.
Synthetic data of diverse parcels on various conveyor belts
SOLUTION: Synthetic Data for Difficult Cases
Advex automatically identified key gaps in customer dataset and generated right volume of synthetic images for each gap
33% improvement in F1 Accuracy
RESULT: 33% Higher F1 Accuracy in far less time
Advex Case Study:
Accurate Automated Truck Unloading
PROBLEM: Unable to detect all boxes accurately
Robotic Truck Loading/Unloading company could not detect all boxes, especially damaged and dimly lit boxes.
Advex Generated Synthetic Data for Truck Unloading
SOLUTION: Synthetic Data for Difficult Cases
Advex automatically found gaps in customer’s dataset and generated 10k+ high-quality synthetic and labeled images.
With Advex, all boxes are found and there are no erroneous bounding boxes.
RESULT: 75% fewer missed boxes in 1 week
Advex Case Study:
Synthetic Data Reflecting New Site
PROBLEM: Long setup times for each new deployment
Fortune 500 company’s Automated Robotic Truck Unloading system took 2 weeks to fine-tune for every new customer site.
Advex Generated Synthetic Data for Truck Unloading
SOLUTION: Synthetic Data Reflecting New Site
With only 10 images from each new site, Advex generated 2k synthetic images in just 12 hours
With Advex, all boxes are found and there are no erroneous bounding boxes.
RESULT: Customer supports new sites 14x faster
The company was able to clear a back log of customer deployments, reducing deal time and freeing resources for growth.
Advex Case Study:
MVTec Carpet Defect Detection
PROBLEM: Unable to detect all defects on carpets
Automotive supplier could not detect all defective products on a production line.
Based on Real (left), Synthetics (right) can have multiple and more extreme defects
SOLUTION: Synthetic Data for Rare Defects
Advex automatically doubled the existing dataset by generating high quality synthetic images.
With Advex, more defects are found.
RESULT: 5x better defect detection
Advex Case Study:
Weather Variation for Self Driving
PROBLEM: Unable to operate in all weather conditions
Self Driving Car Company could not easily collect data in all weather conditions leading to poor performance in non-sunny conditions.
Based on a real image (left), Advex generates synthetics (right)
SOLUTION: Synthetic Data for Weather Variations
Advex automatically generated synthetic data of snow, fog, rain, and sleet to balance the dataset.
Example Synthetic Images
RESULT: Reach Production Years Faster
Advex Case Study:
Accurate Weed Detection for Autonomous Weeder
PROBLEM: Unable to detect new weeds
Autonomous weeding robot company could not accurately add new weed species without significant data collection and fine-tuning.
Detection Before Advex (Left) and After Advex (Right)
SOLUTION: Synthetic Data For Weeds
With just 10 real images of new weeds, Advex was able to create thousands of synthetic, labeled images.
Advex Generated Synthetic Data
RESULT: Customer supports new farms 10x faster
With Advex, the company can support new customer farms in 2 days instead of 4 weeks.
Advex Case Study:
Accurate Defect Detection for Produce
PROBLEM: Unable to detect all defective produce
Automated grocery company could not accurately detect all defective produce without a large amount of labeled data. Defective data was especially difficult to collect.
Detection Before Advex (Left) and After Advex (Right)
SOLUTION: Synthetic Data For Defective Produce
With just 10 real images of a new part, Advex was able to create thousands of synthetic, labeled images.
Advex Generated Synthetic Data
RESULT: 100% of defects detected
With Advex, the company was able to detect all defective produce before they reached their customer.
Advex Case Study:
Faster New Part Support for Robotic Bin Picking
PROBLEM: Long Setup for New Customer Parts
Robotic solutions company could not accurately add new parts without significant data collection and fine-tuning.
Segmentation Before Advex (Left) and After Advex (Right)
SOLUTION: Synthetic Data For New Parts
With just 10 real images of a new part, Advex was able to create thousands of synthetic, labeled images.
Advex Generated Synthetic Data
RESULT: Customer supports new parts 5x faster
With Advex, the company was able to set-up new parts in 2 days instead of 11 days, saving time for their end-user and expensive on-site technician time for themselves.
Advex Case Study:
Higher Accuracy for Bin Picking In Warehouse
PROBLEM: Not All Objects Can Be Picked
A Robotic Bin Picking OEM could not pick all the different types of items that went through a warehouse, preventing them from closing deal.
With Advex, they were able to properly identify every part
SOLUTION: Synthetic Data for Infrequent Items
Advex automatically found gaps in customer’s dataset and generated 15k+ high-quality synthetic and labeled images
Advex Generated Synthetic Data
RESULT: 92% Accurate Bin Picking in 2 Days
With 92% accuracy picking parts, OEM was able to close deal
High variety leads to poor IoU accuracy, Advex remedies this with synthetic images (pictured left)
Advex Case Study:
Higher Accuracy for Warehouse AMR
PROBLEM: Not Enough Forklift Data Available
A warehouse autonomous mobile robot (AMR) company had collected millions of frames, but there was no way for their engineers to pick out the relevant frames that contained forklifts to retrain their perception models.
Advex Synthetic Data Automatically Comes Labeled
SOLUTION: Synthetic Data for Rapid Retrain
Advex used 100 real images in customer’s dataset and generated 20k+ high-quality synthetic and labeled images
Advex Generated Synthetic Data
RESULT: 93% IoU in 2 Days
Advex will be a core technology that will be fundamental for us for years to come
Large 3PL Machine Vision Provider
Let’s start working together!
Get in touch with a member of our team today.