Fullmoonfever
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Could be totally wrong but gist I get for their Oculi tech from the patent that @Diogenese also found is driven around the pixel identification and changes and they speak of the vision component primarily that needs to dovetail into an AI processing aspect maybe?
Driven around threshold values and trigger signals...presumably on pixel changes?
So, question is for me is, who's AI is doing the backend processing?
Appears they need an AI processor / IP maybe to be in that SPU.
The only reference to AI per se was a comment in the patent and quite generic. Nothing on neural or neuromorphic, SNN, DNN, CNN etc.
Only reference I can find so far to neuromorphic is their site but patent and TM applications etc so far don't show any of their own neuromorphic work so logic indicates sourcing elsewhere....whether us or not is to be formally confirmed, I guess.
Oculi makes the OCULI SPU™, Sensing and Processing Unit. This is the only Software-Defined Vision Sensor™ and it can deliver real-time vision intelligence (VI) by combining sensing + pre-processing in the pixel.
A sensing and processing electronic circuit includes a sensing array having a plurality of sensing elements each having a sensor configured to produce an output signal in response to detection of an environmental parameter. The circuit includes a triggering unit configured to generate a trigger signal that causes an action to occur. The trigger signal is generated based on selected activated sensing elements satisfying one or more specifiable conditions. A sensing element is activated when a characteristic value based on the output value of the sensing element crosses one or more thresholds so that the characteristic value is above, below, within or outside of a specified range of values or when a difference value between the characteristic value and a previous or template value of the sensing element crosses one or more thresholds so that the difference value is above, below, within or outside of a specified range of values.
or it may be more convenient to construct a specialized apparatus or system to perform the required methods and techniques. In some cases the environments in which various embodiments described herein are implemented may employ machine-learning and/or artificial intelligence techniques to perform the required methods and techniques.
They also applied for a more recent TM for a Software-Defined Vision Sensor with a dummy board by the looks so unfortunately no Akida identifier **sad face** haha
Was interesting to see the first use anywhere & first use commerce dates in the application.
The literal element of the mark consists of Software-Defined Vision Sensor. The mark consists of standard characters, without claim to any particular font style, size, or color.
The applicant, Fris Inc, DBA Oculi, a corporation of Delaware, having an address of
5520 Research Park Drive, Suite 100
5520 Research Park Drive, Suite 100
Baltimore, Maryland 21228
United States
410-205-5513(phone)
XXXX
requests registration of the trademark/service mark identified above in the United States Patent and Trademark Office on the Principal Register established by the Act of July 5, 1946 (15 U.S.C. Section 1051 et seq.), as amended, for the following:
For specific filing basis information for each item, you must view the display within the Input Table.
International Class 009: Semi-conductors; Semiconductor chip sets; Semiconductor chips; Semiconductor devices; Semiconductor wafers; Semiconductors; Electronic semi-conductors
In International Class 009, the mark was first used by the applicant or the applicant's related company or licensee or predecessor in interest at least as early as 12/08/2021, and first used in commerce at least as early as 12/10/2021, and is now in use in such commerce. The applicant is submitting one(or more) specimen(s) showing the mark as used in commerce on or in connection with any item in the class of listed goods/services, consisting of a Board with statement on it: Software-Defined Vision Sensor.
Specimen File1
Specimen File2
Webpage URL: www.oculi.ai
Webpage Date of Access: 12/10/2021
Mar 22 TinyML presso slide.
Driven around threshold values and trigger signals...presumably on pixel changes?
So, question is for me is, who's AI is doing the backend processing?
Appears they need an AI processor / IP maybe to be in that SPU.
The only reference to AI per se was a comment in the patent and quite generic. Nothing on neural or neuromorphic, SNN, DNN, CNN etc.
Only reference I can find so far to neuromorphic is their site but patent and TM applications etc so far don't show any of their own neuromorphic work so logic indicates sourcing elsewhere....whether us or not is to be formally confirmed, I guess.
Our Technology-V1 | Oculi
www.oculi.ai
OCULI SPU™: Integrated Neuromorphic Sensing & Processing
Oculi makes the OCULI SPU™, Sensing and Processing Unit. This is the only Software-Defined Vision Sensor™ and it can deliver real-time vision intelligence (VI) by combining sensing + pre-processing in the pixel.
SENSING AND PROCESSING UNIT GENERATING A TRIGGER SIGNAL UPON OCCURRENCE OF SPECIFIED CONDITIONS - Fris, Inc.
<div p-id="p-0001">A sensing and processing electronic circuit includes a sensing array having a plurality of sensing elements each having a sensor configured to produce an output signal in response t
www.freepatentsonline.com
A sensing and processing electronic circuit includes a sensing array having a plurality of sensing elements each having a sensor configured to produce an output signal in response to detection of an environmental parameter. The circuit includes a triggering unit configured to generate a trigger signal that causes an action to occur. The trigger signal is generated based on selected activated sensing elements satisfying one or more specifiable conditions. A sensing element is activated when a characteristic value based on the output value of the sensing element crosses one or more thresholds so that the characteristic value is above, below, within or outside of a specified range of values or when a difference value between the characteristic value and a previous or template value of the sensing element crosses one or more thresholds so that the difference value is above, below, within or outside of a specified range of values.
or it may be more convenient to construct a specialized apparatus or system to perform the required methods and techniques. In some cases the environments in which various embodiments described herein are implemented may employ machine-learning and/or artificial intelligence techniques to perform the required methods and techniques.
They also applied for a more recent TM for a Software-Defined Vision Sensor with a dummy board by the looks so unfortunately no Akida identifier **sad face** haha
Was interesting to see the first use anywhere & first use commerce dates in the application.
Application for Software-defined Vision Sensor
Trademark registration supporting document for Application regarding SOFTWARE-DEFINED VISION SENSOR registered by Fris Inc
uspto.report
Trademark/Service Mark Application, Principal Register
Serial Number: 97415842 |
Filing Date: 05/18/2022 |
To the Commissioner for Trademarks:
MARK: Software-Defined Vision Sensor (Standard Characters, see mark)The literal element of the mark consists of Software-Defined Vision Sensor. The mark consists of standard characters, without claim to any particular font style, size, or color.
The applicant, Fris Inc, DBA Oculi, a corporation of Delaware, having an address of
5520 Research Park Drive, Suite 100
5520 Research Park Drive, Suite 100
Baltimore, Maryland 21228
United States
410-205-5513(phone)
XXXX
requests registration of the trademark/service mark identified above in the United States Patent and Trademark Office on the Principal Register established by the Act of July 5, 1946 (15 U.S.C. Section 1051 et seq.), as amended, for the following:
For specific filing basis information for each item, you must view the display within the Input Table.
International Class 009: Semi-conductors; Semiconductor chip sets; Semiconductor chips; Semiconductor devices; Semiconductor wafers; Semiconductors; Electronic semi-conductors
In International Class 009, the mark was first used by the applicant or the applicant's related company or licensee or predecessor in interest at least as early as 12/08/2021, and first used in commerce at least as early as 12/10/2021, and is now in use in such commerce. The applicant is submitting one(or more) specimen(s) showing the mark as used in commerce on or in connection with any item in the class of listed goods/services, consisting of a Board with statement on it: Software-Defined Vision Sensor.
Specimen File1
Specimen File2
Webpage URL: www.oculi.ai
Webpage Date of Access: 12/10/2021
MARK INFORMATION | |
---|---|
APPLICANT INFORMATION | |
LEGAL ENTITY INFORMATION | |
GOODS AND/OR SERVICES AND BASIS INFORMATION | |
CORRESPONDENCE INFORMATION | |
FEE INFORMATION | |
SIGNATURE INFORMATION | |
Input Field | Entered |
SERIAL NUMBER | 97415842 |
*MARK | Software-Defined Vision Sensor |
STANDARD CHARACTERS | YES |
USPTO-GENERATED IMAGE | YES |
LITERAL ELEMENT | Software-Defined Vision Sensor |
MARK STATEMENT | The mark consists of standard characters, without claim to any particular font style, size, or color. |
REGISTER | Principal |
*OWNER OF MARK | Fris Inc |
DBA/AKA/TA/Formerly | DBA Oculi |
INTERNAL ADDRESS | 5520 Research Park Drive, Suite 100 |
*MAILING ADDRESS | 5520 Research Park Drive, Suite 100 |
*CITY | Baltimore |
*STATE (Required for U.S. applicants) | Maryland |
*COUNTRY/REGION/JURISDICTION/U.S. TERRITORY | United States |
*ZIP/POSTAL CODE (Required for U.S. and certain international addresses) | 21228 |
PHONE | 410-205-5513 |
*EMAIL ADDRESS | XXXX |
WEBSITE ADDRESS | www.oculi.ai |
TYPE | corporation |
STATE/COUNTRY/REGION/JURISDICTION/U.S. TERRITORY OF INCORPORATION | Delaware |
INTERNATIONAL CLASS | 009 |
*IDENTIFICATION | Semi-conductors; Semiconductor chip sets; Semiconductor chips; Semiconductor devices; Semiconductor wafers; Semiconductors; Electronic semi-conductors |
FILING BASIS | SECTION 1(a) |
FIRST USE ANYWHERE DATE | At least as early as 12/08/2021 |
FIRST USE IN COMMERCE DATE | At least as early as 12/10/2021 |
SPECIMEN FILE NAME(S) | \\TICRS\EXPORT18\IMAGEOUT 18\974\158\97415842\xml1 \ APP0003.JPG |
| \\TICRS\EXPORT18\IMAGEOUT 18\974\158\97415842\xml1 \ APP0004.JPG |
SPECIMEN DESCRIPTION | Board with statement on it: Software-Defined Vision Sensor |
WEBPAGE URL | www.oculi.ai |
WEBPAGE DATE OF ACCESS | 12/10/2021 |
NAME | Fris Inc |
PRIMARY EMAIL ADDRESS FOR CORRESPONDENCE | info@oculi.ai |
SECONDARY EMAIL ADDRESS(ES) (COURTESY COPIES) | sana.kouatly@oculi.ai; charbel.rizk@oculi.ai |
APPLICATION FILING OPTION | TEAS Standard |
NUMBER OF CLASSES | 1 |
APPLICATION FOR REGISTRATION PER CLASS | 350 |
*TOTAL FEES DUE | 350 |
*TOTAL FEES PAID | 350 |
SIGNATURE | NOT PROVIDED |
SIGNATORY'S NAME | NOT PROVIDED |
SIGNATORY'S POSITION | NOT PROVIDED |
DATE SIGNED | NOT PROVIDED |
Mar 22 TinyML presso slide.
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