v1.1.0

FORXAI Mirror is an access control solution designed to ensure workers use the proper Personal Protective Equipment (PPE). These release notes pertain to version 1.1.0.

Compatibility

The FORXAI Mirror was tested on Ubuntu Desktop 20.04 LTS.

The FORXAI Mirror 1.1.0 is supported by the 2.3.0 version of the FORXAI platform.

Additional PPE support

We've expanded the Mirror’s capabilities to detect a broader range of personal protective equipment (PPE).

FORXAI Mirror now accurately identifies and detects the following protective equipment:

• Hard hat detection
  Detects if the user is wearing a hard hat.

• Hairnet, hood, and cap detection
  Detects if the user is wearing headwear.

  • Hair exposure
    Detects if hair is exposed when soft headwear is worn.

• Safety glasses detection
  Detects if the user is wearing safety glasses.

• Face mask detection
  Detects if the user is wearing a face mask.

• Safety vest detection
  Detects if the user is wearing a high visibility safety vest.

• Smock detection
  Detects if the user is wearing a smock.

  • Neck skin exposure
    Detects if skin is exposed around the neck when a smock is worn.

  • Sleeve skin exposure
    Detects if the skin is exposed around the sleeve when a smock is worn.

• Glove detection
  Detects if the user is wearing gloves.

  • Torn gloves
    Detects if any worn gloves are ripped.

No PPE check override

We've added support for using the Mirror even when no PPE checks are selected.

This feature allows the Mirror to function as a basic access control device, collecting essential analytic data such as timestamps and user IDs of entries. This provides flexibility for users who need access control without PPE requirements while still gathering valuable data for monitoring and security purposes.

Data collection for ML model enhancements

We've added an option for users to allow images taken by the Mirror to be collected by Konica Minolta to improve our machine learning models.

This feature enables us to enhance the accuracy and performance of our system, leading to better detection and more reliable results. By opting in, users contribute to the continuous improvement of our technology, ensuring a higher standard of safety and efficiency in the long run.