Fair enough, it exists in some regard... let's change that to pollution caused by the powerplant of the vehicle.
I'm not wholly informed here, but just by using common sense, I can only imagine we're talking fractions of a percent for brake pad and tyre pollution, so I wouldn't pick that hill to die on personally.
Correct, the potential CO2 emissions are externalised but the electricity can come from wind, sun, nuclear, or even fossil fuel power stations that run more efficiently and cleanly than an ICE.
Also, I'll take the emissions from tires and brake pads over those from an engine for sure.
The UK government is doing the complete opposite in fact. They’ll give you a grant towards the cost of a new EV, a grant for a wall box to be installed at you home, 0% tax on company car benefits if it’s an EV, 0% road tax, etc. They’ve even just moved The ban on new petrol and diesel sales forward to 2030.
Fuel duties help to offset the negative externalities to society of driving, namely CO2 emissions, pollution and congestion. With EVs tou don’t have emissions and pollutions and the health problems they bring so there’s no negatives to offset (ie fuel duty revenue will go down, but so will spending on health and environmental related issues)
There’s still the congestion any vehicle can cause and I think we’ll move to a much different form of vehicle taxation over the next 20 years, perhaps with more toll roads or even surge pricing style taxation for usage of roads.
Seems like a great solution to streamline your personal online presence. If you don’t have a Twitter you could probably do the same thing with GitHub or Instagram
Amazon are currently more focussed on supplying services to developers through AWS, e.g. Rekognition that do one small, technical part of what we do. That and Amazon Go which is a cool concept that works really well for groceries/convenience stores. We're going after everything else and don't see Amazon making any moves to enter this space in the near future.
We've talked to lots of target stores and are live with a number of clients already. The story we hear most frequently is that they've previously tried a number of things to get this type of data but none have been good enough in terms of precision or depth of insight.
Thanks! We've certainly explored that avenue in the past, working with city centres & BIDs to get street footfall data.
We're also talking with malls, who are trying to get footfall traffic data in myriad of different ways already, at differing levels of quality. They may not want to share their information with 3rd parties, but would be able to do trend analysis for their own purposes.
Interesting questions - we haven't actually come across them before so I'm just going on what I learnt from that blog post, and I may not have the greatest appreciation for their specifics.
- Our strategy is to not start with large grocery retailers for the exact reasons they mention. They're slow to implement new tech and slow to change things in stores. Our primary target is mid to large-size speciality retailers, with low conversion rates, where a small change in conversion rate can have a big effect on sales.
- We've honed our camera integration and have made installation easy and fast with existing cameras. Our clients have even done the install themselves before.
- The post talks about the stores needing to actually make use of the data and our plan for this is to help them do the things they change up semi-regularly anyway (product layouts, visual merchandising, window displays)
- With data transfer, we try not to use the stores WiFi if possible, and use 3G dongles instead. We've managed to use new compression algos so we don't use a huge amount of bandwidth
guscost correctly describes the limitations of MAC address tracking. In my experience building Aura Vision [1], we've also discovered MAC tracking is no longer GDPR compliant, because an identifier about a person is stored indefinitely. This gives retailers the ability to measure the same identifier returning. The same goes for Bluetooth/BLE tracking.
We are a CCTV/deep learning system that uses existing infrastructure (think old school grainy security cameras), and we're are also able to capture additional information like age and gender of a person. Unlike other invasive/HD CCTV systems, we don't use facial recognition, and we also work over very wide areas, not just over restricted doorways.
I'm not wholly informed here, but just by using common sense, I can only imagine we're talking fractions of a percent for brake pad and tyre pollution, so I wouldn't pick that hill to die on personally.