Buffalo Automation

Last updated

Buffalo Automation
Company type Privately held company
Industry Guidance, navigation and control
Founded2015
Headquarters
Area served
North America and Europe
Key people
Thiru Vikram (CEO)
ProductsAutoMate
Services Automation
Website https://www.buffaloautomation.ai/

Buffalo Automation was a failed startup [1] that attempted to provide autonomous navigation products for commercial ships, recreational boats, ferries, and water taxis to enable automation and improve maritime safety. [2] [3] [4] It was a private company based in Buffalo, New York. [5] [6]

Contents

History

Buffalo Automation was founded [1] by Thiru Vikram (CEO), Shane Nolan (COO), Alexander Zhitelzeyf (CFO) and Emilie Reynolds, who were engineering students at the University at Buffalo. [3] [7] [8] Originating as a university research project, the group was incorporated in 2015. [9]

AutoMate technology

The company developed AutoMate, describing it as a predictive system [10] that uses artificial intelligence neural networks to coordinate and fuse data, decisions, and actions based on nautical maps, cameras, SONAR, weather sensors, thermal imaging, broadband radars, GPS, LiDAR [11] and Automatic Identification System (AIS). [12] [13] [14] According to the company, the system performs autonomous identification and navigation around obstacles, [4] swimmers, [15] and other vessels within the surrounding 24 nautical miles (28 mi) [5] [9] [16] employing neural networks to recognize navigation signs and rules of way to maneuver in compliance with International Regulations for Preventing Collisions at Sea (COLREGS), and to also interpret weather conditions for passage planning. [6] [17] [12]

Autonomous ships

In 2018, while claiming the technology was being tested on freighters in the Great Lakes but before it could be used for unmanned vessels, Vikram also claimed that self-driving ships could bring many benefits including improved safety and fuel savings without evidence. [18] In 2020, after receiving seed investment, Vikram announced that the company's next "key milestone" was to develop the capability to automate navigation of locks. [19]

Autonomous boats

Initially developed as a solution for the commercial shipping industry, the technology has since been adapted for use on recreational boats, including yachts and motorboats. [20] In early 2018, Buffalo Automation began testing a 22-foot (6.7 m) long autonomous pleasure boat made by Sea Ray, a boat manufacturer owned by the Brunswick Boat Group. [21] [22]

Mobile application

In 2020, Buffalo Automation launched a free "limited preview" mobile app which used the phone's camera to draw boxes around any detected watercraft. [19] [23] [24]

European sustainable urban mobility projects

In 2018, Buffalo Automation had expanded its operations to Europe. [25] Trials of the United Kingdom's first robot water taxis , equipped with Buffalo Automation's AutoMate autonomous navigation system, were scheduled for summer 2020 in Plymouth, UK, but were postponed due to the COVID-19 pandemic. [2] [26] In July 2021, an autonomous ferry began service in the Netherlands' Kagerplassen Lake District, dubbed as "Europe's first commercial robotaxi service". [27] Subsidized by funding from the South Holland provincial government, the self-propelled Vaar met Ferry service connects pedestrians and bicyclists from Warmond-Kagerzoom and Leiderdorp to the Koudenhoorn Recreation Area. [28] [29] [30] The ferry service was implemented as a collaboration between the Delft University of Technology, Future Mobility Network, Buffalo Automation, and the South Holland provincial government to provide a sustainable transport option and reduce crowding on the existing access bridge, as COVID restrictions have increased recreation area usage. [31] [32] Passengers use Buffalo Automation's ridesharing app to hail the robotaxi. [32]

Thermal analytics

In 2020, Buffalo Automation repurposed its thermal imaging software to enable rapid skin temperature scanning of multiple people in a crowd to detect fever. [33] This adaptation was initiated in response to an unmet need in the health care and public health sectors created by the COVID-19 pandemic. [33] Named BiFrost, the system operated as a Software as a Service (SaaS) solution, combining Buffalo Automation's convolutional neural network with existing thermal imaging equipment to rapidly report the skin temperature of different facial regions of each individual in a crowd. [34] [35] In July 2020, the Bifrost Project was piloted at the entrance of the University at Buffalo Neurosurgery Center of the Jacobs School of Medicine and Biomedical Sciences. [36] [37]

Funding

Grants from SUNY and New York State business plan competition prizes helped bootstrap early activity. [38]

In 2016, Buffalo Automation secured its first private placement: US$25,000 in pre-seed investments from Launch NY and Z80 Labs. In 2018, it raised a total of $900,000 in a seed funding round led by the Jacobs family office, with Z80 making a US$100,000 follow-on investment. [3] [38]

By 2020, the company had raised US$1.7m in convertible bonds from angel investor Jeremy Jacobs. During the second round, the University at Buffalo's Innovation Seed Fund made its inaugural venture capital investment, investing US$250,000 in Buffalo Automation. [39] [19] Varia Ventures subsequently matched that US$250,000 investment. [19]

Awards and recognition

See also

References

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