Startup Octi recently raised $7.5 million to create a deep learning-based augmented reality system that understands human movement. The company says their…
Overview
Startup Octi has raised $7.5 million to develop a deep learning-based augmented reality system that interprets human movement. Their technology enables users to create social content and communicate through videos in innovative ways.
What You'll Learn
1
How to utilize deep learning frameworks like TensorFlow and Keras for gesture detection
2
Why augmented reality can enhance social content creation
3
How to implement background removal techniques in augmented reality applications
Prerequisites & Requirements
- Understanding of augmented reality concepts(optional)
- Familiarity with TensorFlow and Keras
Key Questions Answered
What technology does Octi use to develop their augmented reality system?
Octi utilizes NVIDIA GeForce GTX 1080 GPUs along with cuDNN-accelerated TensorFlow and Keras deep learning frameworks to train their neural network for gesture, face, and body detection.
How does the AI system enhance user experience in augmented reality?
The AI system allows users to overlay 3D effects and perform actions like cutting and pasting a person from one scene to another, showcasing the capabilities of AI in creating engaging social content.
What funding has Octi received for their project?
$7.5 million has been raised by Octi to support the development of their augmented reality system that understands human movement.
Key Statistics & Figures
Funding raised
$7.5 million
This funding will support the development of Octi's augmented reality technology.
Technologies & Tools
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Hardware
Nvidia Geforce Gtx 1080
Used for training deep learning models in the augmented reality system.
Software
Tensorflow
Deep learning framework used for training the neural network.
Software
Keras
Deep learning framework used in conjunction with TensorFlow for model training.
Software
Cudnn
Accelerates deep learning computations for improved performance.
Key Actionable Insights
1Explore the integration of AI with augmented reality to enhance user engagement.As social media continues to evolve, leveraging AI in AR applications can provide unique experiences that differentiate your content from competitors.
2Consider using NVIDIA GPUs for deep learning tasks to improve performance.The use of powerful GPUs like the NVIDIA GeForce GTX 1080 can significantly accelerate the training of neural networks, making it easier to implement complex features.
3Experiment with background removal techniques to create immersive AR experiences.Background removal can help in creating more focused and engaging content, allowing users to interact with AR elements without distractions.
Common Pitfalls
1
Over-reliance on AI capabilities without thorough testing can lead to suboptimal user experiences.
It's important to continuously refine AI models and ensure they perform well in real-world scenarios to avoid disappointing users.