Technological Advancements in Food Safety and Micromobility A recent rollout of innovative technology is set to revolutionize the way we approach food safety and micromobility. In the food service industry, a new device known as the PathSpot HandScanner is being introduced to detect invisible contaminants on the hands of food workers. This advanced technology is a significant step forward in preventing foodborne illnesses, which remain a significant public health concern in the United States.
According to the Centers for Disease Control and Prevention (CDC), foodborne illnesses lead to approximately 48 million cases annually, resulting in 128,000 hospitalizations and 3,000 deaths. The primary culprits behind these illnesses are pathogens such as salmonella, listeria, E. coli, norovirus, and hepatitis A. While symptoms can range from mild discomfort to life-threatening conditions, most of these illnesses are preventable. The CDC reports that 90% of foodborne illnesses are directly linked to poor hand hygiene practices among food workers.
The PathSpot HandScanner is a wall-mounted device placed near hand-washing sinks in food service establishments. After washing their hands, employees place them inside the scanner, which uses advanced technology to detect invisible contaminants. A green light indicates that hands are sufficiently clean, while a red light requires the employee to rewash and rescan.
PathSpot HandScanner
In the realm of micromobility, significant strides are being made with the use of AI-powered cameras to detect footpath riding. Neuron is equipping its Melbourne fleet with AI-powered cameras to detect footpath riding, making it the first operator globally to deploy a full fleet of e-scooters equipped with AI camera technology in a major city.
Neuron e-scooters in Melbourne
The ScootSafe Vision system uses AI computer vision to detect footpath riding. It then issues a warning in real-time using the e-scooter’s voice guidance. In addition, it can be configured to reduce the e-scooter’s speed until it leaves the footpath.
In the future, the cameras may also be used to collect data on uneven riding surfaces and potholes to inform speed limits and city planning.
The integration of AI technology in both food safety and micromobility is a significant step forward in creating a safer and more efficient society. As technology continues to evolve, we can expect to see even more innovative solutions to pressing problems.
