Deliver Superior AI-Powered Video Analytics Solutions Faster

Supercharges Video Analytics Solutions with Outstanding Inference Performance

The Challenge

AI-powered video analytics development and deployment effort.

Migrate Workloads from Cloud to Edge

Eliminate inference cloud compute cost and avoid data privacy issues by running your models directly on edge devices.

Achieve Real-Time Inference on Edge Devices

Improve latency and throughput and reduce model size by up to 5X while maintaining the model’s accuracy.

Process More Video Streams on Less Devices

Maximize hardware utilization and cost-efficiently scale your solution at the Edge.

See It in Action

Watch a compilation of clips demonstrating how you can use Deci in a variety of video analytics use cases.

Get Similar Results for Your Specific Use Case

Enabling a New Security Application

Object Detection | Object Tracking

A defense firm required processing high-res images for object detection and tracking on an NVIDIA Jetson Xavier NX, aiming to operate at 10 Watt mode with a 10 FPS throughput. Using Deci the company was able to increase throughput by 3.1x on their existing devices and launch the new solution.

Scaling Up AI Video Analytics Application

Object Detection

A security company aimed to process more live video feeds in real-time on their NVIDIA Jetson Xavier NX. Despite the increased feed count, their YOLOX object detection model fell short of the needed 192 fps throughput for an 8-frame batch.

Employing Deci’s AutoNAC engine, they achieved a 1.7X speed boost, hitting the 192 fps target with a 1% mAP accuracy gain, allowing them to double their video stream handling from 4 to 8 and enhance their video analytics solution’s scale and profit.

"Our advanced text to videos solution is powered by proprietary and complex generative AI algorithms. Deci allows us to reduce our cloud computing cost and improve our user experience with faster time to video by accelerating our models’ inference performance and maximizing GPU utilization on the cloud.”

Lior Hakim, Co-Founder & CTO
Hour One

Application Showcase

Deci is used by AI-powered video analytics solution providers to develop and optimize a wide range of applications. Here are some examples.

Smart Cities

Security

Industrial and Manufacturing

Retail and Logistics

Agriculture

Robotics

Build Better Models Faster with Deci’s Deep Learning Development Platform

Main Capabilities Overview

The Deci platform is used by data scientists and machine learning engineers to build, optimize, and deploy highly accurate and efficient models to production. Teams can easily develop production grade models and gain unparalleled accuracy and speed tailored for any performance targets and hardware environment. Deci is powered by AutoNAC (Automated Neural Architecture Construction), the most advanced and commercially scalable Neural Architecture Search engine in the market. AutoNAC performs a multi-constraints search to find the architecture that delivers the highest accuracy for any performance targets and hardware environment.

Gain Superior Performance with Custom Architectures

Build accurate & efficient architectures tailored to your hardware and application’s performance targets with Deci’s Neural Architecture Search engine.

Simplify Runtime Optimization

Easily compile and quantize your models (FP16/INT8) and evaluate different production settings with a click of a button.

Maximize Accuracy with Advanced Training Techniques

Train models with SuperGradients. Leverage custom recipes and advanced training techniques (e.g. knowledge distillation, quantization-aware training) with one line of code.

Streamline Deployment with 3 Lines of Code

Deploy your models with Infery, Deci’s simple-to-use, unified, model inference API. Streamline deployment and boost serving performance with parallelism and concurrent execution. Compatible with multiple frameworks and hardware.

Related resources

Algorithms

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Computer Vision

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Deployment

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