Designed for video analytics and IoT applications, Chooch Edge AI can be deployed in minutes and delivers responses every few milliseconds on a variety of platforms with high accuracy. Standard AI models and applications are prepackaged for remote devices and ready now.
The Chooch AI Platform provides embedded vision for many solutions in AIoT, geospatial, safety and security, media, healthcare, retail and more – from workplace safety to touchless check-in, fall detection to inventory analysis. Any visual task can be replicated with AI training and be quickly added to existing video systems.
Chooch AI provides complete solutions, from data collection, to AI training, to deployments. Edge AI is managed from the cloud, with standard AI models and custom AI models that include image classification, object detection, facial authentication, action logging, tracking and more.
Chooch offers standard AI models for many general use cases, including common requirements such as PPE detection, demographic analysis, and fall detection. All AI models and applications are dockerized and installed remotely from the Chooch AI Platform to devices with NVIDIA GPUs to provide fully functional edge AI in minutes.
Chooch AI can also generate and deploy new AI models with training data that is very quickly processed. The results are custom AI models with high accuracy. These AI models can be trained for further iterations when deployed into client environments.
All Chooch AI models are installed remotely onto GPU-based devices, which are purpose-built for AI and robotics applications. These lightweight devices easily integrate with existing video systems.
Even the smallest of these edge devices, the NVIDIA Jetson Nano, is capable of running multiple models with multiple classes in each model. Chooch’s edge AI inference engines generate highly accurate responses in milliseconds and process simultaneous feeds per device.
Users can remotely manage and update all of their edge devices from a single tool on the Chooch AI dashboard, including connecting cameras to their edge devices. Depending on your use case, you can configure your edge AI devices to generate alerts or send JSON response outputs to business intelligence and analytics tools.
Edge computing is a paradigm in which you perform as much computation as possible on “edge” devices that are located close to the source of the data, rather than on remote servers running in the cloud.
There are many advantages edge computing has over a “traditional” Internet of Things and cloud computing, especially with computer vision because there’s no need to send video and images to the cloud when you can process data on the edge.
Thanks to recent technological advancements in GPUs, it’s become easier to run powerful AI models on the edge, a trend which is expected to accelerate in the next few years. Chooch AI has unique capabilities deploying and managing AI models in complete packages on the Edge.