Innova Electronics Corporation

Other

Keith Andreasen

Ieon C Chen

Robert Madison

Phuong Pham

David R Rich

Michael Nguyen

Thuan Cong Huynh

Bruce B Brunda

David Huang

David S Rich, Ii

Danh Nguyen

A leak detection system is configured to provide vehicle-specific leak detection for a vehicle. The leak detection system includes a memory circuit having a plurality of leak detection instructions matched with vehicle identification information. The system additionally includes an ultraviolet light source and a camera configured to capture an image of an area illuminated by the ultraviolet light source. A processor is in operative communication with the memory circuit and the camera. The processor is configured to facilitate identification of at least one of the plurality of leak detection instructions in response to receipt of vehicle identification information associated with the vehicle, and compare the image captured by the camera to a known image of the vehicle to determine presence and location of a leak.

Artificial intelligence vehicle leak detection system and related methodology

A method of determining a vehicle health score for a vehicle includes receiving location information associated with a location of the vehicle and identifying at least one location-specific health factor based on the received location information. The method further includes receiving diagnostic data from the vehicle, with the diagnostic data including data points associated with several different heath factors including the at least one location-specific health factor, each health factor being associated with an acceptable condition. The received diagnostic data is compared with the acceptable conditions for each health factor and a preliminary score for each health factor is assigned based on the comparison. A weight is assigned to each of the preliminary scores and a comprehensive vehicle health score is calculated based on each of the weighted preliminary scores. The comprehensive vehicle health score is then displayed on a display.

System and method for determining vehicle health

A diagnostic process includes analyzing vehicle data received from a vehicle to identify diagnostic data, and to determine an identity of the vehicle. A most likely fix is determined based on a combined assessment of the diagnostic data and the vehicle identity. A determination of a special function test to run on the vehicle is made based on the determined most likely fix. A signal is generated to run the special function test, and a determination of a pass or fail status is made based on the special function test. If no special function test is associated with the most likely fix, more targeted testing can be implemented through the use of a test box configured to monitor communications along communication pathways on the vehicle, and also to selectively activate/deactivate components on the vehicle.

System and method for guided vehicle diagnostics

A method of processing vehicle diagnostic data is provided for identifying likely vehicle fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving vehicle diagnostic data from a vehicle onboard computer at a remote diagnostic database, the database being arranged to map vehicle diagnostic data to possible vehicle fix(s). The possible vehicle fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a vehicle repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.

Method of processing vehicle diagnostic data

There is provided a method of predicting defects likely to occur in a vehicle over a predetermined period. The method includes receiving vehicle characteristic data regarding a vehicle under consideration, and comparing the received vehicle characteristic data with a defect database. The defect database includes information related to defects that have occurred in different vehicles and the mileage at which such defects occurred. The method additionally includes identifying defects that occurred in vehicles corresponding to the vehicle under consideration, and the mileage at which such defects occurred. Defects which fail to satisfy minimum count requirements are then filtered out, and the defects are then sorted in order of the highest defect count.

Predictive diagnostic method and system

A method is disclosed for determining the cost of operating a vehicle over a defined period of time. The method proceeds by establishing, on a database, a schedule of anticipated future repairs for a plurality of vehicle types, the repair schedule including the cost of the repairs and the approximate mileage at which the anticipated future repair(s) are expected to become necessary. A processor, in communication with the database, receives information identifying a particular of vehicle, and the present mileage associated with that particular vehicle. Using the vehicle type information, the vehicle's present mileage information and the repair schedule, the processor then computes the approximate total future repair costs for maintaining the vehicle over a defined period of time.

Method and system for determining the likely operating cost for a particular type of vehicle over a defined period

A diagnostic scan tool is provided including a connect/configure module for establishing a communication link between the scan tool and a vehicle electronic control unit (ECU). A vehicle specification module operates to identify a vehicle under test in response to receipt of a vehicle identification number (VIN). A trouble code module retrieves digital trouble codes (DTCs) from the ECU. A freeze frame data module retrieves freeze frame data from the ECU, the retrieved freeze frame data being functionally associated with a highest priority DTC. A database lists possible vehicle defect solutions, indexed to the VIN and the DTCs. A digital signal processor is operative to derive the highest priority DTC from analysis of the retrieved freeze frame data. The digital signal processor further being operative to regulate selection of a most likely vehicle defect solution associated with the VIN and the highest priority DTC.

Hand held data retrieval device with fixed solution capability

A system which utilizes the on-board capabilities of handheld communication devices, such as smartphones, tablet computers and the like, to detect the operational status of a vehicle, such as the engine being ON, the engine idling, the vehicle moving, etc. The detected operational state may be desirable for monitoring operation of the vehicle, such as fleet management systems, wherein the duration and location of idling are of particular interest. The detected operational state may also be useful for controlling functionality on the handheld communication device, such as disabling texting or other manually operated functions when the vehicle is in motion.

System for detecting the operational status of a vehicle using a handheld communication device

Provided is a remote vehicle diagnostic system which utilizes a smart phone as a centralized communication hub between a vehicle and several remote resources. The system includes a program downloadable onto the smart phone to program the phone to perform desired functionality. The smart phone app may allow the smart phone to operate in several different modes, including a diagnostic mode and an emergency mode. In the diagnostic mode, the smart phone may relay vehicle data from the vehicle to a remote diagnostic center. The smart phone may also query the user to obtain symptomatic diagnostic information, which may also be uploaded to the remote diagnostic center. In the emergency mode, the smart phone may be configured to upload critical information to a remote diagnostic center, as well as an emergency response center. The emergency mode may be triggered automatically in response to the vehicle being in an accident, or alternatively, but user actuation.

Smart phone app-based remote vehicle diagnostic system and method

Provided is a method of receiving data from a vehicle having an onboard computer. The vehicle identification data location on the vehicle is optically scanned and matched to a second protocol database to identify the specific protocol useful for retrieving desired diagnostic data from the vehicle. A diagnostic device is connected to the vehicle onboard computer and polls the onboard computer to identify a protocol useful to establish a communication link between the diagnostic device and the onboard computer. Once the communication link is established, the diagnostic device is configured communicate an information request to the onboard computer in the specific protocol(s) associated with vehicle identification data. The diagnostic data received from the onboard computer may then be communicated to a remote diagnostic database, via a cellphone, to identify a possible vehicle fix(es) for defects associated with the received diagnostic data.

Handheld automotive diagnostic tool with VIN decoder and communication system

There is provided a method of predicting defects likely to occur in a vehicle over a predetermined period. The method includes receiving vehicle characteristic data regarding a vehicle under consideration, and comparing the received vehicle characteristic data with a defect database. The defect database includes information related to defects that have occurred in different vehicles and the mileage at which such defects occurred. The method additionally includes identifying defects that occurred in vehicles corresponding to use vehicle under consideration, and the mileage at which such defects occurred. Detects which fail to satisfy minimum count requirements are then filtered out, and the defects are then sorted in order of the highest defect count.

Predictive diagnostic method

Provided is a method of receiving data from a vehicle onboard computer. The onboard computer is configured to transmit vehicle identification data in response to receipt of an identification request, which is transmitted in a basic communication protocol. The onboard computer is further configured to transmit private operational data in response to receipt of a private data request. The private data request is transmitted in a diagnostic protocol. The method includes connecting a scan tool to the onboard computer, and polling the onboard computer to identify the basic communication protocol. The identification request is then transmitted to the onboard computer. Vehicle identification data is subsequently received from the onboard computer. A protocol database having a plurality of diagnostic protocols is then accessed. Each diagnostic protocol is associated with respective vehicle identification data. The diagnostic protocol is then determined based on the received vehicle identification data.

A method of processing system diagnostic data is provided for identifying likely device fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving diagnostic data from a system onboard computer at a remote diagnostic database, the database being arranged to map system diagnostic data to possible vehicle fix(s). The possible device fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a system repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.

Diagnostic process for home electronic devices

A diagnostic scan tool is provided including a connect/configure module for establishing a communication link between the scan tool and a vehicle electronic control unit (ECU). A vehicle specification module operates to identify a vehicle under test in response to receipt of a vehicle identification number (VIN). A trouble code module receives digital trouble codes (DTCs) from the ECU. A freeze frame data module retrieves freeze frame data from the ECU, the retrieved freeze frame data being functionally associated with a highest priority DTC. A database lists possible vehicle defect solutions, indexed to the VIN and the DTCs. A digital signal processor is operative to derive the highest priority DTC from analysis of the retrieved freeze frame data. The digital signal processor further being operative to regulate selection of a most likely vehicle defect solution associated with the VIN and the highest priority DTC.

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Garden Grove, CA, United States of America

Keith Andreasen