Detect More. Faster. Right at the Edge.

AI-Enabled visual Intelligence for real-time object detection and analysis.
Always on. Always watching. Always learning.

See, Interpret, Understand, and React – In Real Time

Visual Task Automation

Full automation of visual tasks such as inspection, monitoring, and detection. Reduces overall labor costs via replacement or support of labor-intensive manual inspection processes.

Enhanced Accuracy

The AI-enabled vision agent detects subtle anomalies that are often missed via human inspection. Human distraction and inspection fatigue are eliminated, thereby improving accuracy and repeatability.

Faster Visual Insights

Provides real-time insights based on analysis of visual data, such as facial recognition, autonomous vehicle behavior, crop health, machine wear, and cyber intrusion detection.

Better Decisions

Enables instantaneous feedback and response in critical operational systems within manufacturing, energy, telecom, automotive, and surveillance. Better decisions to mitigate performance issues and threats.

Improved Safety

PPE detection ensures workers are wearing the required safety gear. Visual hazard detection monitors for spills, machine malfunctions, restricted zone monitoring, and unauthorized intrusion.

Who Benefits from the AI-Enabled Vision Agent?

Fleet Managers: “We spend too much time and effort on visually inspecting our vehicles for damage. Do to time constraints, we often miss some things”.
Biggest Stressor: Worrying that we will miss something that will cause an accident.
Security Analysts: “Our security staff are manually monitoring too many video feeds. It is error-prone and exhausting”.
Biggest Stressor: The probability that we are missing threats due to work overload.
Quality Control Managers “We are still performing manual visual inspection on thousands of manufactured components. Our defection detection rate is only ~ 85%”.
Biggest Stressor: Trying to find ways to improve our manual inspection process.
Production Managers: “Our machcines have too much downtime. Machines break down without us having any advance indication of a problem”.
Biggest Stressor: Trying to meet production quotas despite unplanned line stoppages.
Safety Engineers: “We have no way to realiably verfiy that our workers are always wearing their safety gear. They often put themselves and others at risk”.
Biggest Stressor: Worring that we will have a serious injury or death on the job.

AI-Enabled Vision and Precision

Feature extraction

CNNs automatically detect patterns in images and objects via application of filters across the image. The AI-enabled vision model continuously learns and evolves.

Detection/classification/ segmentation

Images are rapidly detected, classified, and segmented through the training of the neural network on large labeled datasets.

Post processing

Elimination of low-confidence predictions. Removal of overlapping object detections. Summarize image-level outputs into actionable insights.

Decision and action

Rule-based conclusions are drawn from the vision ouput and approriate actions are taken based upon those AI-enabled concusions.

See it in action —