Firearm safety system and method

• US 4,970,819 A
• Filed: 09/25/1989
• Issued: 11/20/1990
• Est. Priority Date: 09/25/1989
• Status: Expired due to Term

• Current Assignee: James A. Bellows
• Original Assignee: V/Ger Incorporated
• Inventors: Mayhak, Gary D.
• Primary Examiner(s): Jordan, Charles T.
• Assistant Examiner(s): NOT, DEFINED
• Application Number:
  US07/411,636
• Time in Patent Office: 421 Days
• Field of Search: 42/70.01, 42/70.11
• US Class Current: 42/70.01
• CPC Class Codes: F41A 17/066 having means for recognizing biometric parameters, e.g. voice control, finger print or palm print control
• CPC Class Codes: F41A 17/46 Trigger safeties, i.e. means for preventing trigger movement F41A17/02 - F41A17/40 take precedence
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

Abstract

Actuation of the firing mechanism of a firearm is prevented until grip pattern sensing means on the handgrip of the firearm supply to a microprocessor signals corresponding to a grip pattern stored in a programmed simulated neural network memory. All of these components are contained within the firearm. Programming of the neural network memory is accomplished by using a host computer with a simulated neural network to train that network to recognize a particular grip pattern using grip pattern signals generated by the grip pattern sensing means as the sensing means is repeatedly gripped for the person for whom the firearm is to be programmed.

Claims

1. In a firearm safety system for a firearm having a handgrip and a firing mechanism, the combination of safety means for preventing and permitting actuation of said firing mechanism, pressure sensing means on said handgrip for sensing the grip pressure pattern of the person holding the firearm, grip pressure pattern recognition means in said firearm for recognizing a particular grip pressure pattern, said pattern recognition means including a simulated neural network memory, means for comparing the pattern sensed by said sensing means with the pattern recognized by said recognition means and for causing said safety means to permit actuation of said firing mechanism only when the grip pattern sensed by said sensing means is recognized by said recognition means.

2. The safety system of claim 1 wherein said grip pattern comparing means is a microprocessor.

3. The safety system of claim 1 further including means utilizing the grip pattern sensing means to program said recognition means to recognize a particular grip pattern.

4. A method of programming a safety system for a firearm having a handgrip and a firing mechanism in which the system includes safety means for preventing and permitting actuation of said firing mechanism, sensing means on the firearm handgrip for sensing the grip pattern of the person holding the firearm, grip pattern recognition means in said firearm and programmable to recognize a particular grip pattern, and means for comparing the grip pattern sensed by said sensing means with the grip pattern programmed into said recognition means and for causing said safety means to permit actuation of said firing mechanism only when the grip pattern sensed by said sensing means matches the grip pattern programmed into said recognition means, comprising the steps of:

(a) establishing connections for transferring signals between the firearm and a computer having a simulated neural network;

(b) causing a person to repetitively grip the handgrip of the firearm to cause said grip pattern sensing means to output signals corresponding to the grip pattern of that person;

(c) feeding the output signals from said grip pattern sensing means to said computer to teach said network to recognize the grip pattern of that person;

(d) transferring the memorized recognition factors in said neural network to said recognition means in the firearm to program said recognition means to recognize the grip pattern of said person; and

(e) disestablishing said signal transferring connections between said firearm and said computer.