Mid term critique presentation

https://nanocrit.com/issues/issue7/trash-trash-art
Artists present trash as trash in very different ways. Dieter Roth archived his daily waste in his installation Flat Waste (1975-76/1992), a work which operates as both diary and self-portrait, and which offers the viewer the opportunity to delve into a library of his personal trash. Over the course of a year, Roth saved all of his waste material on a daily basis, flattening or folding it in order to place it all in transparent sleeves in ring binders chronologically filed on shelves. (Roth first made Flat Waste over the period of a year in 1975-6, but some of the volumes lost from the original year were replaced with binders of rubbish collected on the same day in later years.) Between every specially designed shelving unit, a lectern enables viewers to look at a selection of the ring binders–no waste escaped his collection: used toilet paper, toothpaste, train tickets and cigarette butts are all there. Roth’s preservation of decaying waste conveys to the viewer a sense of the scale of one individual’s everyday waste over a single year, and its ultimate fate as excess.
https://nanocrit.com/issues/issue7/trash-trash-art
https://nanocrit.com/issues/issue7/trash-trash-art
 “to think about what they don’t want to think about” because disposal breaks the connection between object and consumer, vanquishing waste from the consumer’s mind by making it appear to disappear
Another more recent work that brings together a unique chronicling of waste, the process of decay, and more recent forms of environmental art can be found in Joshua Sofaer’s The Rubbish Collection at the Science Museum, London (16 June–14 September 2014), part of the museum’s Climate Changing program.
https://nanocrit.com/issues/issue7/trash-trash-art
One iconic historic reference to this idea is the Daily Mirror’s 1976 headline, “WHAT A LOAD OF RUBBISH,” an attempt to capture the public outrage at The Tate Gallery’s (now Tate Britain’s) purchase of Carl Andre’s Equivalent VIII (1966), a purchase funded by British taxpayers during an economic slump. 
 The headline labeling the work as rubbish played with the idea that it was both trash and trashy, even though it was made out of new materials—firebricks—and nothing else. Recently turned into a painting by the collective Claire Fontaine, this iconic headline set the stage for establishing Equivalent VIII, which came to be known as “The Bricks,” as the epitome of “rubbish,” low quality contemporary art.
Garbage and generic waste management is a challenging task in modern cities. Every area has its peculiar waste production pattern in terms of kind and volume of produced waste, and optimizing collection is key to reduce costs and ensure at the same time that city decor is always maintained.For some cities, this task is made even more difficult due to the impossibility of installing underground containers. This is the case of Amsterdam, where in most part of the city center, garbage collection relies on citizens and tourists to drop trash bags at given collection spots, at given hours (twice a week). In this case, it is of course vital to optimize the collection process and to minimize the amount of trash bags accumulating at any of these spots.Many projects that aim to solve this problem involve some form of sensors to be scattered through the city, which would be responsible to collect data about garbage distribution (IoT-style). We find this approach expensive, both for installation and maintenance, not at all scalable and not environmental-friendly. The solution to environmental problems cannot be to produce and scatter even more disposable electronics all over a city.
You only look once (YOLO) is a state-of-the-art, real-time object detection system.
How It Works
Prior detection systems repurpose classifiers or localizers to perform detection. They apply the model to an image at multiple locations and scales. High scoring regions of the image are considered detections.
We use a totally different approach. We apply a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities.
ARkit: Record spatial features of real-world objects, then use the results to find those objects in the user’s environment and trigger AR content
In iOS 12, you can create such AR experiences by enabling object detection in ARKit: Your app provides reference objects, which encode three-dimensional spatial features of known real-world objects, and ARKit tells your app when and where it detects the corresponding real-world objects during an AR session.
+Vuforia: Vuforia: object recognition
Object Recognition allows you to detect and track intricate 3D objects, in particular toys (such as action figures and vehicles) and other smaller consumer products. Use the Object Scanner and the accompanying object target scanning image to easily scan your detailed toys, models, and educational tools. 
Feedback:
Include instructions
Transition smooth
VR gallery – turn it upside down maybe huge garbage ? 
Move on with AB testing 
If we want to change the design approach we can do it for our second iteration
Explore them further later
Add duration of experience

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