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Orca AI To Save Lives With Its Collision Avoidance System For Ships
Orca AI combines data from sensors with artificial intelligence to provide real-time insights that reflect the changing conditions at sea.
The recent Suez Canal blockage, which lasted for six days after a 400-metre-long (1,300 ft) container ship ended up wedged across the waterway due to the combination of strong winds and human errors, showed the whole world just how easily can major shipping accidents happen and how severe and long-lasting their impact can be. Unfortunately, the Suez Canal blockage was just one of several thousand marine incidents that occur annually. Now, one Tel Aviv-based company has successfully raised €10.8 million in a Series A round to work on its ship navigation and collision avoidance system, Orca AI.
“The maritime industry has come leaps and bounds in recent years, but is still far behind aviation with technological innovations. Ships deal with increasingly congested waterways, severe weather and low-visibility conditions creating difficult navigation experiences with often expensive cargo,” says Orca AI CEO and co-founder Yarden Gross.
Orca AI combines data from sensors with artificial intelligence to provide real-time insights that reflect the changing conditions at sea. The system can be used for individual ships to deliver predictions and alerts on hazards, but it can also supply fleet managers with insights on the risk behavior and patterns of the entire fleet.
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“Utilizing onboard navigation sensors and high-resolution cameras with proprietary AI algorithms, the technology is able to provide valuable insight such as alerting the crew on dangerous targets, prioritize risk in real-time and sort out complex navigation situations,” explains Dor Raviv, Co-Founder & CTO of Orca AI.
Other tech companies are also trying to make the shipping industry safer and less prone to costly accidents. For example, the Saudi Arabian Oil Company is using AI technology to monitor its maritime fleet, while Stockholm-based X Shore is exploring an auto-docking solution that could greatly streamline what’s arguably the most dangerous part of getting a massive cargo ship from point A to point B.
News
Google Releases Veo 2 AI Video Tool To MENA Users
The state-of-the-art video generation model is now available in Gemini, offering realistic AI-generated videos with better physics, motion, and detail.
Starting today, users of Gemini Advanced in the MENA region — and globally — can tap into Veo 2, Google’s next-generation video model.
Originally unveiled in 2024, Veo 2 has now been fully integrated into Gemini, supporting multiple languages including Arabic and English. The rollout now brings Google’s most advanced video AI directly into the hands of everyday users.
Veo 2 builds on the foundations of its predecessor with a more sophisticated understanding of the physical world. It’s designed to produce high-fidelity video content with cinematic detail, realistic motion, and greater visual consistency across a wide range of subjects and styles. Whether recreating natural landscapes, human interactions, or stylized environments, the model is capable of interpreting and translating written prompts into eight-second 720p videos that feel almost handcrafted.
Users can generate content directly through the Gemini platform — either via the web or mobile apps. The experience is pretty straightforward: users enter a text-based prompt, and Veo 2 returns a video in 16:9 landscape format, delivered as an MP4 file. These aren’t just generic clips — they can reflect creative, abstract, or highly specific scenarios, making the tool especially useful for content creators, marketers, or anyone experimenting with visual storytelling.
Also Read: Getting Started With Google Gemini: A Beginner’s Guide
To ensure transparency, each video is embedded with SynthID — a digital watermark developed by Google’s DeepMind. The watermark is invisible to the human eye but persists across editing, compression, and sharing. It identifies the video as AI-generated, addressing concerns around misinformation and media authenticity.
While Veo 2 is still in its early phases of public rollout, the technology is part of a broader push by Google to democratize advanced AI tools. With text-to-image, code generation, and now video creation integrated into Gemini, Google is positioning the platform as a full-spectrum creative assistant.
Access to Veo 2 starts today and will continue expanding in the coming weeks. Interested users can try it out at gemini.google.com or through the Gemini app on Android and iOS.
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