San Francisco Bay Deploys AI Whale Detection to Combat Rising Ship Strikes and Gray Whale Deaths

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San Francisco Bay has launched WhaleSpotter, an AI-powered whale detection network that uses thermal cameras to track gray whales up to 2 nautical miles away and alert ships in real time. The system responds to an alarming crisis: 21 gray whales died in the Bay Area in 2025, with 40% killed by ship strikes, as climate change pushes starving whales into heavily trafficked waters.

AI Whale Detection System Launches to Save Gray Whales in San Francisco Bay

San Francisco Bay has deployed an AI-powered whale detection network called WhaleSpotter to address a mounting crisis threatening gray whales navigating one of the world's busiest waterways. The system, unveiled on May 19, combines thermal cameras with artificial intelligence to scan the bay around the clock for whale blows and heat signatures up to 2 nautical miles away, alerting mariners to slow down or reroute when gray whales are nearby

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. This AI-powered whale-spotting tech represents a critical intervention as ship strikes have become a leading cause of death for these marine mammals in the region.

Source: Science News

Source: Science News

The whale detection network emerged from a coalition of ocean scientists, the U.S. Coast Guard, whale tracking experts, and local ferry companies, marking an effort to save whales from ship strikes through technology and collaboration. Thomas Hall, director of operations for San Francisco Bay Ferry, explained that the system will allow mariners to "make adjustments way before they get anywhere close" and enable tracking data over time to adjust routes during whale season to avoid concentration areas completely

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Alarming Rise in Gray Whale Deaths Drives Urgent Response

The deployment comes amid a disturbing escalation in gray whale deaths. In 2025, 21 dead gray whales were found in the wider Bay Area—the highest number in 25 years, according to The Marine Mammal Center—with at least 40% killed by ship strikes

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. At least 10 more have died in the Bay Area so far this year. Scientists acknowledge these figures likely underestimate the true toll, as many whale carcasses sink or are swept back out to sea before being found or reported

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Source: New York Post

Source: New York Post

Rachel Rhodes, a project scientist at the Benioff Ocean Science Laboratory who led the initiative, described the situation bluntly: "It's the worst place possible in terms of all the ship traffic." There have been so many collisions that "the teams responding to strandings said they ran out of places to even land dead whales"

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. The whales now concentrate in a high traffic corridor between Angel Island, Alcatraz and Treasure Island, directly overlapping with ferry routes and shipping lanes

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Climate Change Disrupts Whale Migration Patterns and Drives Bay Detours

The crisis stems from climate change fundamentally altering gray whale behavior. These whales have long migrated along the California coast on their roughly 12,000-mile journey between breeding lagoons in Mexico and feeding grounds in the Arctic

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. But instead of simply passing offshore, increasing numbers are now diverting into San Francisco Bay and lingering for days or even weeks inside the crowded estuary—a shift scientists increasingly link to climate change

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Warming temperatures and shifts in sea ice in the Arctic are disrupting the food web gray whales rely on during summer feeding months, according to a 2023 study in Science, leaving many malnourished during migration

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. In the Arctic, gray whales feed on tiny crustaceans called amphipods in ocean sediments; those amphipods are nourished by algae growing on the underside of sea ice. Climate change is rapidly melting that sea ice, disrupting the entire food chain

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. "They may not be getting the quality or quantity of food they're used to in the Arctic," Rhodes said. "That means they're starting this incredibly long migration at a disadvantage"

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The eastern North Pacific gray whale population was once hailed as a conservation success story after rebounding from commercial whaling and being removed from the Endangered Species Act in 1994. But numbers have since plummeted, decreasing by half over the last 10 years, according to the National Oceanic and Atmospheric Administration. Just 13,000 remain

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How WhaleSpotter Technology Works to Prevent Ship Collisions

The AI whale detection system represents 15 years of development by researchers at the Woods Hole Oceanographic Institution, who later created WhaleSpotter to market the technology

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. Daniel Zitterbart, a physicist at WHOI and chief scientist of WhaleSpotter, explained: "We wanted to be able to detect whales so far out that it would give mariners time to take action." This is particularly important for large container vessels with significant inertia that cannot quickly change course

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The system uses thermal cameras to detect water emitted from whale blowholes or the whales' bodies themselves, which are warmer than ambient water by about 2 degrees Celsius. Researchers trained the AI using hundreds of thousands of thermal images to recognize these relative temperature differences as signifying a whale

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. When artificial intelligence automatically flags potential whale sightings, trained marine mammal observers verify the detection to minimize false positives before mariner alerts are sent via radio to ferry operators and vessel traffic controllers, and posted publicly on the Whale Safe website

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Source: AP

Source: AP

One camera mounted on a radio tower on Angel Island monitors numerous busy shipping lanes, while a second will be fixed aboard a ferry traveling between downtown San Francisco and Vallejo to create what Rhodes described as a "moving data collection platform"

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. Future camera sites could include the Golden Gate Bridge and Alcatraz

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Real-Time Alerting Ships Marks First Integrated Detection Network

While WhaleSpotter systems are already used on vessels and fixed installations such as lighthouses and coastal towers in the United States, Canada and Australia, researchers say the San Francisco Bay network is the first to directly integrate land-based and vessel-mounted detections with official mariner alerts, allowing whale sightings to be relayed in near-real time to ships navigating the bay

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. The first hours of testing produced an immediate flood of detections. "Suddenly to have a full sense of how much whale activity is in this space honestly put me a little bit on edge," said Douglas McCauley, director of the Benioff lab. "But we're going to use that data and we're going to be smart about how we use that space and share it with the whales"

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Researchers emphasize the system's biggest advantage is constant monitoring. Unlike human observers, thermal cameras can operate through the night and in many foggy conditions common in the bay

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. "We want as many deployments as possible, because that ultimately means we have better eyes on the ocean," Zitterbart said. "Shipping is not going to disappear. We need to have a tech that allows us to use the ocean, but also allows the whales to go about their lives"

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Josephine Slaathaug, a whale biologist at Sonoma State University, expressed cautious optimism: "I'm very glad that the vessel strike issue is being taken seriously." She added that it's especially heartening to see so many different organizations and partners—including the shipping industry—working together to develop a science-based, long-term solution

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. The collaboration between scientists, maritime operators, and government agencies signals a shift toward proactive conservation strategies that balance commercial shipping needs with marine mammal protection in an era where climate change continues to reshape ocean ecosystems and whale migration patterns.🟡.*There are three images that are relevant to the story. I have chosen these because they directly relate to the AI whale detection system, the alarming rise in whale deaths, and how the technology works to prevent collisions.

  1. ar-139498: This image shows a gray whale expelling water from its blowhole with the San Francisco skyline in the background. This directly relates to the initial description of the AI-powered WhaleSpotter, which scans for "whale blows and heat signatures." It also grounds the story in the specific location mentioned.
  2. ar-139591: This image depicts a deceased whale on a beach alongside an inset of a sensor tower. This image is highly relevant to the " alarming rise in gray whale deaths" section, visually representing the problem the AI system aims to solve. The inset of the tower also subtly but directly links to the AI detection network.
  3. ar-139499: This image shows the San Francisco Bay with a cargo ship and the Golden Gate Bridge. This visual directly supports the section on "How WhaleSpotter Technology Works to Prevent Ship Collisions" by illustrating the busy shipping lanes and the challenge of large vessels.

I have strategically placed these images after the introductory paragraph for the first image, after the body paragraph that describes alarming rise in gray whale deaths for the second image, and after the description of how the WhaleSpotter technology works for the third image.

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