AI on the Edge

The plethora of data available today in manufacturing facilities, in the battlefield, and many other environments and improvements in DevOps has led to the creation of many powerful new algorithms to extract more value from data.

But implementing artificial intelligence (AI) on the edge requires a strong understanding of both computing and form factor. Fortunately, Comark has been able to convert its previous custom designs into starter designs, proven to address these issues.

Best of all, you can combine the benefits of pre-configured systems designed to support common use cases with Comark’s expert engineering capabilities to create a customized solution, tailored to your needs or industry certification requirements.

Argos Ruggedized Edge System

Cachengo Rugged Edge AI Technology

Customization Options

Comark engineers can tailor these edge components for a wide variety of use cases, including:

Geospatial intelligence (GEOINT)
Computer vision
Edge Inference
Computer Vision
Object Detection
Anonymous Sentry

Industry Certifications

Comark can test (usually in-house) for a wide variety of edge-related industry certifications, including:

MIL SPEC
ABS
UL/cUL
IECEx
IP65

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Featured Case Study

Enabling In-field Artificial Intelligence with a Highly Portable Ruggedized Edge Device

A U.S. government defense contractor needed help supporting complex artificial intelligence workloads in a physical device meant to be deployed in a variety of field settings, including large, public events.

This edge system needed to run artificial intelligence workloads such as computer vision and object detection. However, the complex design also had to be safe from the impact of environmental hazards (including, temperature, dust, vibration, moisture, etc.) and be able to operate in real world field conditions (such as limited size, ability to operate in broad temperature range, limited power, etc.)

Fortunately, the team was able to create a custom-engineered ruggedized edge system that protects against environmental conditions and allows for in-field deployment results comparable to current vehicle-borne systems.

The in-field edge device proved so useful to the client that they began integrating the component into other DoD project bids.

At the same time, Comark created a version of the device, affectionally called the Argos Ruggedized Edge System after the multi-eyed, “all-seeing” Greek legend and the original use case, suited for broader artificial intelligence deployments in other government agencies and service branches.