BRAINS FOR BOTS SDK

Embed ready-to-go deep learning neural networks into your application.


Get A Brain
SDK CAPABILITIES

The Neurala Brains for Bots™ SDK contains an easy-to-use set of C ++ APls and provides Android and iOS wrappers to simplify mobile development. It comes fully documented with sample code that makes deployment easy.


LEARN

Teach The Neurala Brain with on-the-fly incremental learning

RECOGNIZE

Identify objects and concepts in real-time.

FIND

Get the location of objects and concepts in the video stream.

TRACK

Track objects as they move in the video feed.

MAKES DEEP LEARNING EASY

Instead of Using Complex Algorithms, Neurala Makes Developing Simple.

(Normal Algorithm)



VS

(Neurala code)

VS

(Neurala code)

CROSS-PLATFORM

The Brains for Bots SDK supports a range of platforms from GPU-based drones and self-driving cars to GPU or CPU-based mobile phones and single board computers. 

GPU
Platforms

CUDA enabled NVIDIA platforms: NVIDIA TK1, TX1, NVIDIA DRIVE PX, laptop and desktop nVidia graphic cards with computational capability of 2.0 or greater. 

SBCs
and SoCs

SoC Systems such as Raspberry Pi 2, Orange Pi Zero and Pine 64 with 100 MB of RAM or more depending on the size of the neural network.

Other Platforms

NVIDIA

ARM

Intel

Operating Systems


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Selfie Dronie Feature list

FLIGHT FEATURES

NEURALA INTELLIGENCE FEATURES

AUTOMATIC FEATURES

VIDEO AND SHARING FEATURES

SAFETY FEATURES

WARNINGS

DISPLAY

ALWAYS AVAILABLE HELP SYSTEM

MULTI-LINGUAL CONTROLS AND USER CONTROLS

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  • “Can be trained by the user to recognize new types of objects in a matter of seconds”
    Xconomy
  • “Neurala’s real value-proposition is its ability to execute machine learning frameworks, locally, with limited resources.”
    TechCrunch
  • “Able to function without having to rely on the internet or communicate personal information to a third party”
    ZDnet
  • “Neurala is hardware agnostic, capable of scaling from low-end CPUs to high-end GPUs.”
    TechCrunch
  • “Neurala’s ‘Anywhere Brain’ means that devices can learn on the job”
    DroneLife
  • “useful for mobile applications such as autonomous vehicles that may not always have access to fast networks.”
    Machine Design