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Dynamically varying the frequency of a time lapse video of a vehicle boot delivery Disclosure Number: IPCOM000245655D
Publication Date: 2016-Mar-24
Document File: 2 page(s) / 54K

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The Prior Art Database


A method is described where the frequency of recording of a time lapse camera would automatically vary based on a perceived threat level.

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Dynamically varying the frequency of a time lapse video of a vehicle boot delivery

Multiple car companies and delivery companies are currently working on systems where a customer can order an item on a website for delivery which a courier can then deliver to the customer's car boot whilst they are at work. This has been piloted by various companies, but a main issue that customers are concerned with is the security implications surrounding allowing a courier access to the their car boot. Whilst this has partially been solved by providing the courier with a one time access code, and suggestions of having the vehicle take photos of the deliverer or parcel, this boot delivery system would benefit from additional security measures in place to give customers more confidence in the system.

    The idea is based around having a camera inside the vehicle which records the boot area, so that there is video footage of the parcel being delivered to the boot, and therefore if the parcel was removed from the vehicle there would be footage to show what had happened and who was responsible. However, recording the video all day would require a large amount of power and memory storage, and it may not be necessary for a whole day worth of video to be recorded. On the other hand, only recording the period where the parcel is delivered may also be insufficient as the customer may want to feel confident that the parcel is not stolen later on in the day. The advantage of the proposed method is that it provides a happy medium between these two options.

    The proposed method is to record a time lapse video where the frequency of the frames in the time lapse is varied dynamically so that there is a higher level of detail when there is a higher risk, and the frequency is reduced when there is lower risk. This would ensure that at the points in time when the parcel is most likely to encounter an issue or be stolen, this would be recorded, whilst ensuring that battery and memory are not being too heavily drained when there is a lower risk of something happening to the parcel.

    An example of a use case for when this system would be used is shown below:
Step 1: Customer orders an expensive TV from an electrical store and selects the option to have it delivered to their car boot while they are at work the next day.

    Step 2: Customer orders some clothes online and selects the option to have these delivered to their car boot the next day, so that both deliveries can be received on one day.

    Step 3: On the day of the delivery, the customer parks their car in the car park at work as usual.

Step 4: The courier for the clothes delivery arrives at the customer's car.

    Step 5: The GPS system in the courier's van triggers the on board camera in the customer's car to start recording the boot area of the car, as the courier is within range of the car and about to do the delivery. (A delivery event happening is classed as a high risk event)

    Step 6: The courier receives a one time pa...