oToBrite's Vision-AI DMS (Driver Monitoring System) is an advanced solution that utilizes a highly sensitive image sensor and 940nm IR LEDs for in-cabin image capture. It comes with an innovative optical design, providing excellent power efficiency and 2X illumination. Thanks to the 3D facial landmark AI tracking technology, the system can identify up to 100 drivers and accurately classify their behaviors such as inattention, dozing, smoking, calling, etc. This compact size camera, compatible with power-over-coax, supports drivers wearing level 3 sunglasses or coated glasses and performs image quality optimization anytime, anywhere with AI technology.

oToBrite's BSIS (Blind Spot Information System) and MOIS (Moving Off Information System) for commercial vehicles is designed to follow UN R151 and UN R159 requirements. BSIS alerts drivers about cyclists and pedestrians in the vehicle's blind spot, reducing accidents. Likewise, MOIS, which can be added by an additional camera, detects pedestrians or cyclists ahead before the vehicle moves off. The two-in-one system is an effective solution to meet both UN regulations. When the given vulnerable road user conditions are met, the system triggers LED flashing signals.

oToBrite's oToParking system offers a combination of Automated Parking Assist (APA) and Automated Valet Parking (AVP), leveraging four surround-view cameras, an ECU, and Vision-AI technology. The system understands over 100 parking scenarios, can identify parking numbers, and look out for vulnerable road users. Apart from this, it employs VSLAM technology for autonomous navigation. The system can memorize up to 1km of parking routes and can autonomously circle within parking lots until it locates an available spot. Additionally, it offers a mobile summon feature for vehicle retrieval.

oToBrite's Smart Rear View System bolsters existing rear camera capabilities by integrating vision-AI technology. This technology enables four main functionalities: rear-view image display, multi-angle view, static and moving object detection, and rear cross-traffic alert (RCTA). Detecting both vehicles and vulnerable road users, including VRUs such as children, pedestrians, and two-wheelers. The RCTA alert detection range extends up to 6m behind the vehicle's rear and 20m in width, ensuring comprehensive safety in the vehicle's surroundings.

ADAS Mobile's solution, the Fleet Management System (FMS) Integration, takes fleet management to the next level. By integrating with Mobileye, it is able to capture detailed driving behavior data, offering valuable insights for fleet operators. Unseen hazardous driving behaviors, such as habitual tailgating, lane swaying, or collision instances, are identified and documented by the system. The integrated FMS solution can even rate the drivers, promoting an overall increase in driving safety within a fleet.

ADAS Mobile's solution, "Launch X-431," is a state-of-the-art navigation calibration tool designed for vehicle fleet management. The system uses high-tech hardware combined with sophisticated software to provide precise alignment information for any vehicle. It implements CCD cameras and targets on the wheels to perform a thorough wheel alignment evaluation, making crucial adjustments to optimize the vehicle's navigation system. This solution provides important alignment data for the vehicle, intended to improve vehicle efficiency and to enhance safety mechanisms within the automobile.

The solution being offered is an AI-Powered Driver Monitoring System (DMS). This system is designed to improve road safety by real-time detection of dangerous behaviors such as fatigue driving, distraction, and lack of seatbelt use. Research indicates that driving after only 4 hours of sleep can increase the likelihood of an accident by 10 times. The DMS is positioned as an effective tool to prevent such accidents, and the entire system runs on a cost-effective computing platform.

eNeural Technologies' Sensor Fusion System is designed to enhance the safety of autonomous vehicles through reliable and accurate information about the driving environment. Developed as a solution to the discrepancies often encountered in autonomous vehicles, this sensor fusion system combines camera AI detection and mmWave radar detection results. It then fuses this information using an in-model hybrid fusion method, improving adaptability and reliability in challenging conditions. Ultimately, this technology aims to make autonomous vehicles safer and more efficient, by providing real-time information about the surrounding environment.

AI Omnicam, part of the Motive safety platform, offers 360° monitoring of fleet vehicles through side, rear, passenger, and cargo surveillance. This AI-enabled vehicle camera system effectively reduces accident costs and manual incident reviews. It alerts drivers to unsafe driving behavior 86% of the time, significantly higher than its competitors. Incorporating built-in cellular connectivity, it's designed to swiftly detect risks like unsafe lane changes and incorrect cargo loading to enhance safety and efficiency.

The AI Dashcam by Motive is a cutting-edge solution that leverages advanced AI processor and computer vision algorithms to enhance fleet safety. It instantly recognizes unsafe driving actions, providing audio and visual alerts to enhance driver awareness in real time. The dashcam captures critical video even when the engine is off or power is lost, ensuring no important footage is missed. With a resolution of up to 1440p, it offers the best image quality in the industry, capturing every detail. Users can retrieve dash cam footage from the last 30 to 235 hours, providing valuable insights into incidents. Commercial drivers can also record high-risk events and share the footage with the safety team. Additionally, the AI Dashcam includes Driver Privacy Mode, which disables the driver-facing camera during off-duty hours to ensure privacy.