๐ด Tired of delayed deliveries? Here's how AI is making "out for delivery" actually mean something:
Picture this: Warehouses full of workers, sorting packages by hand. Repetitive. Exhausting. Accident-prone. Now, imagine robots doing that job - faster, safer, 24/7. That's already happening. ๐ค โก ๐ค ๐
But here's the kicker: Those robots ๐ค ? They're about to get a major upgrade.
๐โโ๏ธ ๐โโ๏ธ UPS, FedEx, and other logistics giants are racing to implement next-gen vision systems. The goal? Robots that can instantly recognize and sort ANY package, no matter how weird or wonky.
The problem? Training these systems is SLOW. Like, "we'll-get-back-to-you-next-year" slow. โฑ ๐ข
Enter Advex. Our secret sauce? We don't wait for real-world data. We CREATE it. Thousands of synthetic images, covering every possible package scenario you can imagine (and some you can't). ๐จ ๐ฆ
The result? A major logistics provider used Advex to supercharge their system's accuracy by 33% - in just 12 hours. โฑ ๐
Honored by the kind words from @brandontrabucco! Brandon's DA-Fusion paper at ICLR'24 broke new ground in diffusion-based synthetic images for CV model training.
We're pushing the boundaries of this tech, and we're growing our team to do even more. Join us:
Diffusion Researchers: https://t.co/pErYTjiczL
Machine Learning Engineers: https://t.co/kDX5v6nHJN
Unlock the Power of Synthetic Data in Computer/Machine Visionย ๐
๐ With AI vision blowing up in manufacturing and robotics, you have many options for vision system hardware and softwareย ๐ธ
Nevertheless, researchers agree that the data you use to train these systems is actually the most important ingredient ๐จโ๐ณ ๐
Having on demand and high quality synthetic data allows you to:
๐ท Instantly create balanced, diverse datasets
๐ท Accelerate development and deployment
๐ท Boost model performance
๐ท Quickly address model drift
Learn more atย https://t.co/xI0UGAqEUO.
#AdvexAI #MachineVision #SyntheticData #AI #DataScience #Innovation #Manufacturing #Robotics