AI Dash Cam Event Detection With Local Processing Alerts
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Solution Overview
Problem
Current systems for real-time safety event detection in vehicles face challenges due to high data storage and processing requirements, leading to delayed alerts and reduced accuracy caused by the need for wireless data transmission to servers, which limits the effectiveness of safety alerts provided to drivers.
Innovation Solution
The implementation of an artificial intelligence dash cam that processes video data locally to detect safety events without transmitting data to a backend server, providing immediate actionable alerts, while a backend server analyzes asset data to optimize event models and reduce unnecessary data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is transmitted to a server for processing, then measurement precision of safety events is improved, but loss of time increases due to wireless data transmission delays
Solution Approach 1:
The patent segments the data processing function between the vehicle device and the server. The vehicle device performs initial processing and detection of safety events locally, while the server handles comprehensive analysis and model optimization. This segmentation allows real-time alerts to be generated at the vehicle level without waiting for server communication, eliminating alert delays while maintaining high detection accuracy through collaborative processing.
Solution Approach 2:
The system performs preliminary processing of sensor data and detection of safety events at the vehicle device before transmitting data to the server. Event models are pre-deployed to the vehicle device, enabling it to independently identify safety events and generate immediate alerts. This preliminary action ensures that critical safety alerts are not delayed by wireless transmission, while the server still performs comprehensive analysis for model optimization.
2Loss of time
If data processing is performed locally in the vehicle, then loss of time is reduced enabling real-time alerts, but device complexity increases
Solution Approach 1:
The vehicle device is designed with multi-functionality, serving both as a data collection sensor and as a processing unit with embedded event models. It can independently detect safety events, generate alerts, and communicate with the server, eliminating the need for separate processing hardware while enabling real-time response. This universal design reduces alert delay without proportionally increasing complexity.
3Measurement precision
If wireless data transmission is used to send sensor data to servers, then measurement precision can be improved through backend analysis, but loss of energy increases due to continuous communication
Solution Approach 1:
The system transmits only essential data to the server - specifically, safety event data and selected sensor data - rather than continuously transmitting all sensor data. The vehicle device performs local filtering and identification of safety events, sending only relevant information for model optimization. This partial transmission approach maintains detection precision through server-based model improvement while significantly reducing energy consumption compared to continuous full-data transmission.
Data Source
AI summary
A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.