Spotlight on Innovation: AI Powered Applications for Mobility

Spotlight on Innovation: AI Powered Applications for Mobility

Written by Bernard Bourgeois, MIBA Managing Director and Michigan Ecosystem Leader

This November’s Spotlight on Innovation highlights two companies using AI in unique and groundbreaking ways. Ottopia enables remote control operation of vehicles, while NOVAlert IVS is revolutionizing Driver Monitoring Systems.

Ottopia - Teleoperation Software for Connected Vehicles

Imagine controlling a fleet of vehicles from a single command center

That’s all possible with Ottopia, a leading provider of teleoperation solutions, offering advanced remote-control technologies for both commercial mobility and defense sectors. Their platform ensures reliable performance across various networks and vehicle platforms, enhancing safety and efficiency in critical operations.

Their teleoperation platform enables remote control of vehicles, ensuring mission success in diverse scenarios such as demolition, construction, and path clearance. It utilizes AI-driven technologies for seamless operation across RF, satellite, cellular, and WiFi networks, providing ultra-low latency video streaming that adjusts to network conditions for uninterrupted communication.

Ottopia knows that safety and security are paramount, with military-grade encryption and advanced cybersecurity measures protecting operations. Their technology supports a wide range of commercial and defense needs, from remote valet parking to combat and surveillance missions, combining the best of human and AI driving for unmatched tactical flexibility and operational dominance.

Ottopia’s technology is applied in several key areas:

  1. Automotive: Used for remote valet parking and autonomous vehicle testing.
  2. Logistics and Warehousing: Enhances the efficiency and safety of material handling and transport operations.
  3. Construction: Enables remote control of heavy machinery for tasks such as demolition and site clearance.
  4. Defense: Supports military operations with remote control of unmanned vehicles for surveillance, reconnaissance, and combat missions.
  5. Agriculture: Facilitates the remote operation of farming equipment to improve productivity and safety.
  6. Mining: Allows for the remote control of mining equipment in hazardous environments to protect workers.

These applications demonstrate the versatility and reliability of Ottopia’s teleoperation solutions across various industries, ensuring safety, efficiency, and operational flexibility.

NOVAlert IVS - Smart non-contact biometric solutions for driver monitoring

NOVAlert specializes in developing innovative, real-time, AI-powered contactless human state monitoring and alerting systems. Their primary focus is on enhancing safety and performance in the automotive, aviation, and emerging space mobility sectors.

Their key offering in the mobility space is their Driver Monitoring Systems (DMS), non-contact biometric solutions to monitor driver alertness and detect signs of fatigue or drowsiness.

Their technology leverages multi-parameter digital signal processing, analytics, and adaptive machine learning to provide early warnings and real-time alerts. NOVAlert’s solutions are designed to be non-intrusive, ensuring continuous monitoring without impeding movement.

NOVAlert IVSs technology works by utilizing advanced AI and machine learning algorithms to monitor and analyze human states in real-time. Here’s a breakdown of how it functions:

  1. Non-Contact Sensors: The system employs non-contact sensors to gather data on various physiological and behavioral parameters without physical contact. These sensors can detect subtle changes in facial expressions, eye movements, and other biometric indicators.
  2. Data Processing: The collected data is processed using multi-parameter digital signal processing techniques. This involves analyzing the signals to extract meaningful patterns and indicators of the user’s state.
  3. Machine Learning Algorithms: Adaptive machine learning algorithms are applied to processed data to identify signs of fatigue, drowsiness, or other states that could impact safety and performance. These algorithms continuously learn and improve from the data they process, enhancing their accuracy over time.
  4. Real-Time Alerts: Based on the analysis, the system provides real-time alerts and warnings. For example, in a Driver Monitoring System (DMS), if signs of drowsiness are detected, the system can alert the driver to take a break.
  5. Non-Intrusive Monitoring: The technology is designed to be non-intrusive, ensuring that it does not interfere with the user’s activities. This allows for continuous monitoring without causing discomfort or distraction.

NOVAlert is currently looking to license their technology in the US.

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