Michelangelo A Palella from Schiller Park, IL, age 58

Methods And Systems For Monitoring Workers In A Retail Environment
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US Patent:

20200394589, Dec 17, 2020
Filed:

Jun 12, 2019
Appl. No.:

16/439357
Inventors:

- Chicago IL, US
Michael PAOLELLA - Lake Zurich IL, US
Michelangelo PALELLA - Chicago IL, US
Amit R. PATIL - Naperville IL, US
International Classification:

G06Q 10/06
G06N 20/00
G06K 9/00
G06K 9/62
Abstract:

Examples described herein generally relate to a system for monitoring workers in a retail environment. The system may include a plurality of cameras located in different regions of the retail location and configured to capture a video feed of a respective region. The system may include a computer system comprising a memory storing computer executable instructions. The system may provide a video feed of at least one region of the retail environment to a machine learning classifier, the machine learning classifier trained on labeled videos, to classify a sequence of images of a worker into a probability certainty of an activity being performed by the worker. The processor may determine, based on the probability certainties generated by the machine learning classifier over a period of time, an activity schedule of the worker. The system may determine labor productivity statistics based on the activity schedule.

Methods And Systems For Artificial Intelligence Insights For Retail Location
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US Patent:

20200394697, Dec 17, 2020
Filed:

Jun 12, 2019
Appl. No.:

16/439281
Inventors:

- Chicago IL, US
Michelangelo PALELLA - Chicago IL, US
International Classification:

G06Q 30/06
G06N 20/00
G06N 5/02
Abstract:

Examples described herein generally relate to a system for managing a retail environment. The system may collect data from a plurality of retail information systems including at least an inventory system, a loss prevention system, and a retail traffic system. The system may predict a condition based on a machine-learning model applied to a combination of the collected data from at least two systems of the plurality of retail information systems. The system may push an alert to a user identifying the condition and a recommended action, the user having a user persona matching a persona associated with the condition.

Apparatus And Method Of Controlling A Security System
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US Patent:

20200250958, Aug 6, 2020
Filed:

Feb 5, 2020
Appl. No.:

16/783043
Inventors:

- Chicago IL, US
Daniel Mueller - Chicago IL, US
Michelangelo Palella - Bartlett IL, US
Adam S. Bergman - Boca Raton FL, US
International Classification:

G08B 25/00
G08B 26/00
H04W 80/02
Abstract:

Example implementations include a method, apparatus and computer-readable medium of controlling a security system by a computer device, comprising receiving device metadata associated with a device in communication with a wireless communication access point. The implementations further include determining that the device metadata comprises matched device metadata based on a match with one of a plurality of previously-identified device metadata in a historical database that stores the plurality of previously-identified device metadata in association with one or more of a plurality of security breach events and a corresponding one of a plurality of security breach probability values. Additionally, the implementations further include determining that the matched device metadata corresponds with a security breach probability value that exceeds a security breach probability threshold. Additionally, the implementations further include generating an alert and sending the alert to a security system device, wherein the alert is configured to initiate a security function.

Point Of Sale Artificial Intelligence Quality Determination System
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US Patent:

20200085214, Mar 19, 2020
Filed:

Sep 19, 2018
Appl. No.:

16/135872
Inventors:

Amit R. Patil - Naperville IL, US
Scott Roberts - Seattle WA, US
Michael Paolella - Lake Zurich IL, US
Michelangelo Palella - Bartlett IL, US
Steve E. Trivelpiece - Rancho Santa Margarita CA, US
Assignee:

Tyco Fire & Security GmbH - Neuhausen Am Rheinfall
International Classification:

A47F 9/04
G06Q 20/20
G06K 9/00
G06F 15/18
Abstract:

Systems and methods for operating a Point Of Sale (“POS”) system. The methods comprise: performing operations by the POS system to machine learn at least information about a condition of an article to be purchased using at least one of imaging, sensing, and short range communications; determining by the POS system if the article is accepted for purchase based at least on the machine learned information about the condition of the article; and completing a purchase transaction by the POS system if a determination is made that the article is accepted for purchase. The POS system may also perform operations to deactivate a security tag coupled to the article or actuate a detachment mechanism of the security tag, if the article was successfully purchased during the purchase transaction.

Self-Service Product Return Using Computer Vision And Artificial Intelligence
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US Patent:

20200065791, Feb 27, 2020
Filed:

Aug 21, 2018
Appl. No.:

16/107175
Inventors:

Amit R. Patil - Naperville IL, US
Michael Paolella - Lake Zurich IL, US
Michelangelo Palella - Bartlett IL, US
Steve E. Trivelpiece - Rancho Santa Margarita CA, US
Assignee:

Tyco Fire & Security GmbH - Neuhausen Am Rheinfall
International Classification:

G06Q 20/20
G06Q 20/40
G06K 9/00
G06K 7/14
G07F 7/06
G06F 15/18
Abstract:

Systems and methods for returning an item. The methods comprise: performing item return operations by a computing device using at least one of machine learned information about a person who purchased the item, machine learned information about a person returning the item, and machined learned information about a condition of the item at the time of sale and at the time of return; and automatively sorting the item using a conveyer system to move the item from a counter to a respective storage area of a plurality of storage areas assigned to different product types.

Michelangelo A Palella