QC, or Quality Control, means different things in different contexts. When we talk about physical QC (as opposed to QC on intellectual processes, like accounting), QC often means having workers manually inspect products, finished sites, and so on, for defects in workmanship or other hazards. Regardless of the form factor it’s on, CleanApp makes QC significantly more efficient.
In construction sites, there’s a form of QC called a “walkthrough.” Depending on the size of the project, there can be several interim walkthroughs and/or one big “final walkthrough.” On a large public works project (like a bridge or a highway extension), a final walkthrough may represent the last opportunity to submit “punchlist” items to a contractor for correction. After a bridge or section of highway is opened to transit, there may opportunities to get warranty remedies from the contractor, but by and large, the contractor can tell the hiring authority they should have spotted those potential defects in the final walkthrough. The key here is:
The final walkthrough is a big deal for all parties in a construction project, both big & small, and the easier it is to do walkthroughs, the better the outcomes all the way around.
Right now, there are a lot of enterprise-grade apps & specialist software for construction project management, including walkthroughs. We’ve surveyed much of it, and we know that a frictionless CleanApp interface on a wearable device can accomplish walkthrough documentation much more efficiently than existing 2018 tech.
— CleanApp (@CleanApp) November 23, 2017
For a sense of the gains that your firm can achieve, take a look at the state-of-the-art wearables tech deployed by Upskill.io.
Now imagine your project managers or technicians going out on site and easily documenting defects on everything from handheld objects to a new terminal that your agency paid $2 billion to build. GoogleGlass hardware, running enterprise-grade secure GE-spunoff software, generating industry-standard CleanApp reports allows many more of those exposed wires, unfinished spots, mismatched tiles, and crooked structural load-bearing beams to be spotted.
knows how drones have revolutionized commercial inspections, pipeline operations, and the like. @CleanApp, we believe it’s time to take it up a notch. Our vision of drone-enabled QC allows operators to submit voice commands or one-click button commands to document an instance that needs CleanApp.
Drones with #CleanApp functionality will revolutionize #inspections, #infrastructureQC, construction #walkthroughs, #retail #riskmitigation & so many other sectors. #Cleanliness yields many rewards. Join #CleanApp in #prodding #BigTech to make #Trash/#HazardReporting easy.
— CleanApp (@CleanApp) November 18, 2017
Why is that necessary? The answer is very simple, and apparent to anyone who’s had to operate a high-asset drone and perform an inspection and maintain high-quality output over a long period of time. The easier it is to generate an incident report, the more likely operators are to do so. This increases the overall efficiency of the inspection/reporting process, yielding higher quality incident reports.
— Dean (@DeansDailyDoses) May 1, 2017
The input method (voice control v. chin control v. blink control v. button control) is secondary to the primary CleanApp process. If the DJI or GoPro or other drone control software can easily register CleanApp reports as background processes without disturbing the overall pace of the inspection, the operator is freed to focus on meta trends & sightlines, leveraging her expertise more effectively. The micro-level details can be examined in a form of post-processing. This method works well for photographers & videographers when examining raw footage, and works equally efficiently in QC.
The efficiency gains become especially large when one realizes that much of the micro-level analysis can be further automated and/or sub-delegated, permitting even higher-order error-checking processes to be operationalized. Not too shabby for a little “trash reporting” app, eh?
— Nine News Sydney (@9NewsSyd) November 25, 2017
— RTÉ News (@rtenews) December 1, 2017
Please note that our vision of drone-augmented QC does not distinguish between aerial/terrestrial/subterranean/space-based or submarine implementations. So too with the provenance or cause of particular bits of debris or hazards:
It doesn’t matter if the couch on the side of the freeway was “dumped” illegally by college students who couldn’t afford the disposal costs, or landed there following a tornado or flood; if it doesn’t belong there, it needs to be CleanApp-ed. Now.
Why the urgency? Because high quality CleanApp reports save lives. Because a Tesla or Toyota driving on Autopilot that needs to use that part of freeway the couch is on for another hazard-avoidance maneuver needs to know about the location of the couch. And the hundreds of obvious aesthetic/ecological/security & other reasons why we as a society want to get rapid data on objects that are located where they don’t belong. This is true in basic “tire-on-the-side-of-the-road” scenarios, and is especially true in disaster response situations.
— CleanApp (@CleanApp) August 30, 2017
@CleanApp, we care about making trash/hazard reporting technology as user-friendly as possible. This means giving folks technology to report hazards through familiar interfaces like digital assistants, their existing social networks, and new generations of smartglasses. Take a look:
— Everysight (@goEverySight) September 14, 2017
Please note that much of the tech necessary for widescale adoption is already in use, and millions of people are already CleanApping, whether they know it or not. What remains missing is a harmonized standard for reporting, so that CleanApp reports that are submitted in numerous platforms can be culled together into actionable BigData.
A few examples:
- How many tons of debris were created by the 2017 Hurricane Harvey?
- How many tons of debris were created by the 2017 Mumbai floods?
- What were the forms of hazardous debris unleashed by the 2017 hurricanes, and where were they dispersed?
- How many tons of debris were created by the 2017 Hurricane Maria that affected Puerto Rico?
- What are the disposal timeframes & planned disposal locations for the mountains of debris in cities like Houston?
— CleanApp (@CleanApp) September 3, 2017
Even estimates like the one above make clear that they are based on incomplete data that needs on-the-ground verification. It may surprise even the most active citizens, but even with all our tech advances, there are no robust answers to these straightforward questions about these actual widescale natural disasters. It’s quaint to assume that government agencies are on the job, aiming their their ultra-precise realtime imagery satellites or aerial assets at disaster zones. But it’s far better to add redundancies in the form of ground-sourced/crowd-sourced data. As a British PM once famously said,
It’s good to trust; but it’s better to verify.
Skeptics can raise all sorts of arguments for why CleanApp tech shouldn’t necessarily be a priority item in large-scale disaster relief operations. But the received wisdom in disaster recovery zones like Puerto Rico shows otherwise. When more than half of the island is still without electricity as of the end of November 2017, but cell phone service is being restored at a much faster rate, Puerto Ricans should have the ability to send CleanApp reports for neighborhood transformers & power lines they believe are much higher priority-need items. This is common sense; and this is the least that BigTech can do for natural disaster victims today, and in the future.