More bad news for General Motors as 117,000 vehicles recalled
General Motors is recalling more than 117,000 vehicles from 2013 and 2014 for a defect that could cause them to stall. The vehicles being recalled include the Chevrolet Tahoe, Suburban, Traverse, Express and Silverado; the Cadillac, CTS, Escalade and Excalade ESV; the GMC Yukon, Yukon XL, Acadia, Savana and Sierra; and the Buick Enclave.
GM says metal slivers in the chassis control module could cause an electrical short. If that happens, the vehicle could stall.
GM knows of no accidents or injuries related to the defect and believes only 1 percent of the vehicles being recalled are affected.
The recall includes 97,540 vehicles sold in the U.S. and 20,201 exported elsewhere. Around 4,500 vehicles haven’t yet been sold.
The news will come as yet another blow for General Motors, which has been plagued with recalls and defects in the last few years. Overall, GM has issued 71 recalls covering 29.95 million vehicles in North America this year alone. The wave of recalls was triggered after the company stepped up efforts to spot problematic vehicles in the wake of its ignition-switch scandal.
Earlier this year, the auto maker recalled 2.6 million vehicles because a jarring of the ignition key could cause the switch to slip from “on” to “accessory,” cutting power to air bags and power steering. GM waited 11 years to initiate that recall, resulting in a $35 million fine issued by the National Highway Traffic Safety Administration as well as a Justice Department investigation.
Fluent.ai x BSH: Voice Automating the Assembly Line
Fluent.ai has deployed its voice recognition solutions in one of BSH’s German factories. BSH leads the market in producing connected appliances—its brands include Bosch, Siemens, Gaggenau, NEFF, and Thermador, and with this new partnership, the company intends to cut transition time in its assembly lines.
According to BSH, voice automation will yield 75-100% efficiency gains—but it’s the collaboration between the two companies that stands out. ‘After considering 11 companies for this partnership, we chose Fluent.ai because of their key competitive differentiators’, explained Ion Hauer, Venture Partner at BSH Startup Kitchen.
What Sets Fluent.ai Apart?
After seven years of research, the company developed a wide range of artificial intelligence (AI) software products to help original equipment manufacturers (OEM) expand their services. Three key aspects stood out to BSH, which operates across the world and in unique factory environments.
- Robust noise controls. The system can operate even in loud conditions.
- Low latency. The AI understands commands quickly and accurately.
- Multilingual support. BSH can expand the automation to any of its 50+ country operations.
How Voice Automation Works
Instead of pressing buttons, BSH factory workers will now be able to speak into a headset fitted with Fluent.ai’s voice recognition technology. After uttering a WakeWord, workers can use a command to start assembly line movement. As the technology is hands-free, workers benefit from less physical strain, which will both reduce employee fatigue and boost line production.
‘Implementing Fluent’s technology has already improved efficiencies within our factory, with initial implementation of the solution cutting down the transition time from four seconds to one and a half”, said Markus Maier, Project Lead at the BSH factory. ‘In the long run, the production time savings will be invaluable’.
Future Global Adoption
In the coming years, BSH and Fluent.ai will continue to push for artificial intelligence on factory lines, pursuing efficiency, ergonomics, and a healthy work environment. ‘We started with Fluent.ai on one factory assembly line, moved to three, and [are now] considering rolling the technology out worldwide’, said Maier.
Said Probal Lala, Fluent.ai’s CEO: ‘We are thrilled to be working with BSH, a company at the forefront of innovation. Seeing your solution out in the real world is incredibly rewarding, and we look forward to continuing and growing our collaboration’.