VIXallcam

Vehicles operating long distances, at night, or in adverse weather conditions, such as logistics and buses, are at high risk of accidents in low visibility (fog, heavy rain, etc.). Existing cameras are vulnerable to light reflection or fog, and the driver's visibility is also limited. This has led to a high risk of accidents and casualties.

VIXallcam aims to improve these existing limitations by correcting and analyzing camera images based on advanced AI, providing excellent visibility even in adverse conditions.

Beyond simple thermal imaging or low-light cameras, it is equipped with a generative AI vision language model (VLM) to understand and analyze even atypical situations. The VLM-based AI recognizes objects even in non-visible distances and performs warnings or automatic accident reporting after situation assessment.

It also detects pedestrians, vehicles, and obstacles at a distance of 200m in real-time, even in tunnel, night, and heavy rain conditions where general cameras fail. It evaluates the risk level every second with learned data and delivers warnings to the driver. A key differentiator compared to similar products is that it is equipped with an installed AI agent, enabling on-site judgment and response without human intervention.

It can be mainly introduced in B2B to logistics/transportation companies, bus/truck companies, public construction/firefighting/disaster prevention vehicles, etc. (B2G application to companies/public is more likely than B2C consumers.) It is especially useful for drivers and safety managers of vehicles operating on irregular/rough roads.

Applicable to the global vehicle market. Although it is necessary to meet electrical equipment specifications (connectors, software standards) and regulations (IFC, certification, etc.), the technology itself is not limited to vehicle types or countries.

It can also be expanded to 5G IoT-based disaster/safety fields such as self-driving cars, smart city CCTVs, and unmanned drones. However, the vehicle hardware verification/approval period may be long.

As a CES Smart Community award winner, it is evaluated as having a very high level of technology. It demonstrated its performance in an actual operation demo and was recognized by the award judges for its manufacturing connectivity.

Market expectations are relatively high, but there are also concerns about over-exaggeration. In other words, although the core technology is strong, it is necessary to verify the cost-effectiveness and differentiation from other ADAS systems when actually introduced to the transportation field. It is still"R&D phase"and the marketability will be fully verified only when more actual adoption cases come out.