- 10x Object Detection
- 2D & 3D Body Pose Estimation
- Proprietary Person Reidentification AI
- Face Anonymization
- Fire & Smoke Detection
- Housekeeping Models (Leakage and Spill, Unattended Object Detection, Clean Vehicle Roads, Clean Pedestrian Ways)
AI & Data Operations
The data comes from the facilities using our platform. As these are all based in companies in EHS field, the equipments, movements, objects, machinery used are different versions of the same products. Which enables our AI models gets more acqurate faster.
- World’s #1 AI-Powered EHS Platform
- Alerts Inspected by EHS Data Operation Specialists
- Off-the-Shelf EHS Specific AI Models
- Labeling of Real-Time Collected Data
- Transparent AI Accuracy Evaluation by EHS Specialists
- World’s #1 AI-Powered EHS Platform
- Alerts Inspected by EHS Data Operation Specialists
- Off-the-Shelf EHS Specific AI Models
- Labeling of Real-Time Collected Data
- Transparent AI Accuracy Evaluation by EHS Specialists
- World’s #1 AI-Powered EHS Platform
- Alerts Inspected by EHS Data Operation Specialists
- Off-the-Shelf EHS Specific AI Models
- Labeling of Real-Time Collected Data
- Transparent AI Accuracy Evaluation by EHS Specialists
- World’s #1 AI-Powered EHS Platform
- Alerts Inspected by EHS Data Operation Specialists
- Off-the-Shelf EHS Specific AI Models
- Labeling of Real-Time Collected Data
- Transparent AI Accuracy Evaluation by EHS Specialists
- World’s #1 AI-Powered EHS Platform
- Alerts Inspected by EHS Data Operation Specialists
- Off-the-Shelf EHS Specific AI Models
- Labeling of Real-Time Collected Data
- Transparent AI Accuracy Evaluation by EHS Specialists
- World’s #1 AI-Powered EHS Platform
- Alerts Inspected by EHS Data Operation Specialists
- Off-the-Shelf EHS Specific AI Models
- Labeling of Real-Time Collected Data
- Transparent AI Accuracy Evaluation by EHS Specialists
Data Collection
01
325 Million images are processed every second by our AI algorithms.
02
The collected data comes from the real use-case scenarios of the facilities using our platform. Thus, the data pool includes the best examples for the related use-case development.
03
Different versions of the same equipment type are used in various facilities (such as helmets, reflective vests, and forklifts in different colors and designs). In this way, a more enlarged data pool is obtained compared to any other platform, and training the best AI models in the EHS field becomes possible.
AI Models and Algorithms
AI Models
Tracker
Receive camera stream and analyze each use-case with the prediction from AI models and trigger alert if a violation occurs.
Ergonomy Solutions
The posture of the human body is detected with a body pose estimation model, which in turn is used to decide whether an action is performed in an ergonomically correct way.
Object Detection
The object detection model is responsible for detecting objects in the frames. It receives a frame as input and outputs bounding boxes and names for any object of interest on that frame. Afterward, these predictions are used to analyze each use case.
Accuracy Check
After the use-cases are set up for the facilities system in intenseye, if a violation is detected, we send alerts.
If a violation is detected after the rules are set, we send an alert for it. After reaching a sufficient number of alarms, we take some of them as samples and evaluate them as true or false. This process increases the performance of the models.
92%+ average accuracy of the alerts for the facilities using our platform. (in the last quarter of 2021)
Periodical accuracy checks of models inspected by Intenseye EHS Data Operations Specialists.
Sharing the insight offered by the manual inspections and the results of checks with deep learning engineers to increase accuracy rates.
Rearranged labeling roadmap according to model performances.
Completed reports shared by customers transparently.
Tailor-Made Tools
The success of our platform is supported by our custom-developed Maia and Maat tools. The collected and labeled images from live cameras are integrated into our system and the accuracy rates of the alerts are calculated.
Maia is our AI-powered image annotation tool that we built internally. Maia receives video streams from cameras and automatically labels the video feed. Our labeling experts add missing annotations afterward.
Maat is our accuracy check platform. Our team of EHS experts measures our accuracy and transparently provides the results on a continuous basis.
Let’s grow together
Looking for great people who share our passion! Help us create a meaningful impact on workplace health and safety globally.
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