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Adam M. added photos to project BubbleNLU Deep Learning NLU Engine

Medium eb938210 949d 4405 9a2b 3f9c9262053b

BubbleNLU Deep Learning NLU Engine

BubbleNLU is a state of the art Deep Learning NLU Engine (Natural Language Understanding). The project has been created to provide the TechBubble Technologies EcoSystem with a more advanced and efficient A.I. assistant, TIA, who is soon to replace TOA in all TechBubble Technologies systems including the IoT JumpWay / IntelliLan products and services and A.I. Hybrid Application products.

CURRENT FEATURES:

Updatable default responses
Trained / interfaced via API
Intent classification
Intent classification threshold sent as API parameter
Entity training /
Entity synonym training / classification
Dialogue context management
Automatic dialogue context resetting if user changes conversation
Intent actions
Multiple models / users
Repetition handling
Updatable repetition responses
Updatable repetition ignore count
Updatable repetition ignore count cutoff
Served on secure Nginx server

FUTURE FEATURES INCLUDE:

Internal actions for updating user details such as name, age, location etc
Slotfilling with automatic cancellation if user changes conversation
Sentiment analysis
Webhooks
Managed via TechBubble ARC
Hosted on Colfax

AREAS THAT HAVE IMPROVED THE ENGINE:

Automatic Dialogue Resetting: One issue with other services I have used was getting caught in a loop when contexts were set. In my implementation, once the context has been incorrectly matched, if the following intent does not match the context it will reset the context and provide the response to the current intent request.

Post Entity Processing: A lot of the time on other services I have used, when the intent has been matched and entity has been matched, it would return the correct response and entity type, but the wrong entity definition, in my case, it would break the application as entity definitions are what matches the actions to the relevant entry in the database. This would lead to situations such the client being redirected to a product page that did not exist. In my implementation, fallback responses can be added to the data, the engine will check to see if there is a valid entity reference or synonym that matches, and if not will return one of the provided fallbacks, also, it will clear the entity totally if no actual entity was provided in the training data for that intent.

Repetition Management: None of the services I used handled repetition, in my implementation repeat limits can be set and a repeat string which will be added to the beginning of the response for each repeat count. I response before the repeat limit, the bot will respond with a predefined warning that it will no longer respond to the question / statement if asked again, and then if asked again will ignore the user for the duration of a predefined time period.

Adam

Adam M. added photos to project TASS PVL Computer Vision Hub

Medium 639cd5fa 019c 4c7c 9985 21c578b68350

TASS PVL Computer Vision Hub

DESCRIPTION:
TASS PVL is an open source version of the technology used to power TASS that allows developers to create their own IoT connected, Artficially Intelligent Assistant. TASS PVL utilizes the Intel® Computer Vision SDK Beta to bring industry standard computer vision to the project. TASS PVL can connect to either an Intel® Realsense camera or a webcam via USB.

First, TASS PVL detects if there is a face, or faces, present in the frames passed to it from the camera, and if so passes the frames through the computer vision algorythm to determine whether the face is a known person or an intruder. In the event of a known person or intruder, TASS PVL communicates with the IoT JumpWay which can then communicate with IoT devices and applications based on predefined rules, for instance, controlling other devices on the network or raising alarms in applications etc.

INTEL® TECHNOLOGY
TASS PVL uses the following Intel technologies:

- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)

IOT CONNECTIVITY:
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.

ARTIFICIAL INTELLIGENCE:
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in TASS Hub, follow this link.

INTELLILAN MANAGEMENT:
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.

Adam

Adam M. added photos to project TASS PVL Computer Vision Hub

Medium 6aac905f 2830 45a5 b481 0983343eecd0

TASS PVL Computer Vision Hub

DESCRIPTION:
TASS PVL is an open source version of the technology used to power TASS that allows developers to create their own IoT connected, Artficially Intelligent Assistant. TASS PVL utilizes the Intel® Computer Vision SDK Beta to bring industry standard computer vision to the project. TASS PVL can connect to either an Intel® Realsense camera or a webcam via USB.

First, TASS PVL detects if there is a face, or faces, present in the frames passed to it from the camera, and if so passes the frames through the computer vision algorythm to determine whether the face is a known person or an intruder. In the event of a known person or intruder, TASS PVL communicates with the IoT JumpWay which can then communicate with IoT devices and applications based on predefined rules, for instance, controlling other devices on the network or raising alarms in applications etc.

INTEL® TECHNOLOGY
TASS PVL uses the following Intel technologies:

- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)

IOT CONNECTIVITY:
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.

ARTIFICIAL INTELLIGENCE:
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in TASS Hub, follow this link.

INTELLILAN MANAGEMENT:
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.

Adam

Adam M. added photos to project TASS PVL Computer Vision Hub

Medium dc2adc7a 1579 429e b803 829246f1aa62

TASS PVL Computer Vision Hub

DESCRIPTION:
TASS PVL is an open source version of the technology used to power TASS that allows developers to create their own IoT connected, Artficially Intelligent Assistant. TASS PVL utilizes the Intel® Computer Vision SDK Beta to bring industry standard computer vision to the project. TASS PVL can connect to either an Intel® Realsense camera or a webcam via USB.

First, TASS PVL detects if there is a face, or faces, present in the frames passed to it from the camera, and if so passes the frames through the computer vision algorythm to determine whether the face is a known person or an intruder. In the event of a known person or intruder, TASS PVL communicates with the IoT JumpWay which can then communicate with IoT devices and applications based on predefined rules, for instance, controlling other devices on the network or raising alarms in applications etc.

INTEL® TECHNOLOGY
TASS PVL uses the following Intel technologies:

- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)

IOT CONNECTIVITY:
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.

ARTIFICIAL INTELLIGENCE:
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in TASS Hub, follow this link.

INTELLILAN MANAGEMENT:
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.

Adam

Adam M. added photos to project TASS PVL Computer Vision Hub

Medium 639cd5fa 019c 4c7c 9985 21c578b68350

TASS PVL Computer Vision Hub

DESCRIPTION:
TASS PVL is an open source version of the technology used to power TASS that allows developers to create their own IoT connected, Artficially Intelligent Assistant. TASS PVL utilizes the Intel® Computer Vision SDK Beta to bring industry standard computer vision to the project. TASS PVL can connect to either an Intel® Realsense camera or a webcam via USB.

First, TASS PVL detects if there is a face, or faces, present in the frames passed to it from the camera, and if so passes the frames through the computer vision algorythm to determine whether the face is a known person or an intruder. In the event of a known person or intruder, TASS PVL communicates with the IoT JumpWay which can then communicate with IoT devices and applications based on predefined rules, for instance, controlling other devices on the network or raising alarms in applications etc.

INTEL® TECHNOLOGY
TASS PVL uses the following Intel technologies:

- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)

IOT CONNECTIVITY:
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.

ARTIFICIAL INTELLIGENCE:
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in TASS Hub, follow this link.

INTELLILAN MANAGEMENT:
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.

Adam

Adam M. added photos to project TASS PVL Computer Vision Hub

Medium 6aac905f 2830 45a5 b481 0983343eecd0

TASS PVL Computer Vision Hub

DESCRIPTION:
TASS PVL is an open source version of the technology used to power TASS that allows developers to create their own IoT connected, Artficially Intelligent Assistant. TASS PVL utilizes the Intel® Computer Vision SDK Beta to bring industry standard computer vision to the project. TASS PVL can connect to either an Intel® Realsense camera or a webcam via USB.

First, TASS PVL detects if there is a face, or faces, present in the frames passed to it from the camera, and if so passes the frames through the computer vision algorythm to determine whether the face is a known person or an intruder. In the event of a known person or intruder, TASS PVL communicates with the IoT JumpWay which can then communicate with IoT devices and applications based on predefined rules, for instance, controlling other devices on the network or raising alarms in applications etc.

INTEL® TECHNOLOGY
TASS PVL uses the following Intel technologies:

- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)

IOT CONNECTIVITY:
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.

ARTIFICIAL INTELLIGENCE:
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in TASS Hub, follow this link.

INTELLILAN MANAGEMENT:
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.

Adam

Adam M. added photos to project TASS PVL Computer Vision Hub

Medium dc2adc7a 1579 429e b803 829246f1aa62

TASS PVL Computer Vision Hub

DESCRIPTION:
TASS PVL is an open source version of the technology used to power TASS that allows developers to create their own IoT connected, Artficially Intelligent Assistant. TASS PVL utilizes the Intel® Computer Vision SDK Beta to bring industry standard computer vision to the project. TASS PVL can connect to either an Intel® Realsense camera or a webcam via USB.

First, TASS PVL detects if there is a face, or faces, present in the frames passed to it from the camera, and if so passes the frames through the computer vision algorythm to determine whether the face is a known person or an intruder. In the event of a known person or intruder, TASS PVL communicates with the IoT JumpWay which can then communicate with IoT devices and applications based on predefined rules, for instance, controlling other devices on the network or raising alarms in applications etc.

INTEL® TECHNOLOGY
TASS PVL uses the following Intel technologies:

- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)

IOT CONNECTIVITY:
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.

ARTIFICIAL INTELLIGENCE:
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in TASS Hub, follow this link.

INTELLILAN MANAGEMENT:
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.

Adam

Adam M. added photos to project TASS PVL Computer Vision Hub

Medium 8b5dbe67 9224 46f5 a322 d19f714d65c7

TASS PVL Computer Vision Hub

DESCRIPTION:
TASS PVL is an open source version of the technology used to power TASS that allows developers to create their own IoT connected, Artficially Intelligent Assistant. TASS PVL utilizes the Intel® Computer Vision SDK Beta to bring industry standard computer vision to the project. TASS PVL can connect to either an Intel® Realsense camera or a webcam via USB.

First, TASS PVL detects if there is a face, or faces, present in the frames passed to it from the camera, and if so passes the frames through the computer vision algorythm to determine whether the face is a known person or an intruder. In the event of a known person or intruder, TASS PVL communicates with the IoT JumpWay which can then communicate with IoT devices and applications based on predefined rules, for instance, controlling other devices on the network or raising alarms in applications etc.

INTEL® TECHNOLOGY
TASS PVL uses the following Intel technologies:

- Intel® Core i7 NUC
- Intel® Computer Vision SDK Beta
- Intel® Realsense (R200,F200)

IOT CONNECTIVITY:
The IoT connectivity is managed by the TechBubble IoT JumpWay, the TechBubble Technologies IoT PaaS which primarily, at this point, uses secure MQTT protocol. Rules can be set up that can be triggered by sensor values/warning messages/device status messages and identified known people or intruder alerts. These rules allow connected devices to interact with each other autonomously, providing an automated smart home/business environment.

ARTIFICIAL INTELLIGENCE:
TASS PVL uses the Intel Computer Vision SDK Beta to provide the system with Artificial Intelligence. For other uses of A.I. used in TASS Hub, follow this link.

INTELLILAN MANAGEMENT:
The IntelliLan Management Console/Applications are essentially IoT JumpWay applications, capable of controlling all IntelliLan devices on their network and communicating with the IoT JumpWay. Users can use the console and manage their devices using their voice which is powered by TIA, an A.I. agent developed to assist home and business owners to use TechBubble web and IoT systems.

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