Open Drones



All Nations Under Surveillance


Example of Civil Surveillance Technology:

- camera "Argus IS"

- 1,8 Billion pixel sensor

- 5km height, not noticable for the people

- possible to watch a whole town at once (zoom in on details)

- if this is already being used is secret


argus IS surveillance


Drones are the last piece in the puzzle of total surveillance

- 1 camera is more effective than many cameras (+invisible)

- automated executive, analyzing Big Data

- it is only a small step to arming the drones

- we are helpless against this kind of surveillance (out of reach/sight, can't use VPN or TOR)

- 2010 German police drones tracked and collected data of activists during protests against a nuclear waste transport

- U.S. police already armed drones with tear gas and tasers

- privatization of surveillance and spy technology (profit and competiton)

(--> Amazon's delivery drones would collect masses of data anyhow. Who believes they wouldn't sell them?)


amazon drone meme


Video Surveillance:

(I can only talk about installed cameras, because officially drones are not yet used for persistent surveillance)



- prevention of crime (> not proven)

- feeling of security in public (> surveys show, that people don't feel more secure)

- solving of crimes (> 2008: 1 solved crime per 1000 cameras)

(- reduce labor costs)



- discrimination by system operators - they zoom in on

- men more often than women

- black people more often than white people

- young people more often than older people

- if they zoom in on women, it's mostly highly attractive women (most operators are male)

--> if you observe more jung black men, you will find them comitting more crimes

--> statistics are not real, but influence our view


- "overall climate of suspicion"

- 99% of surveillance cameras operated by the German state break the data privacy law (2010)

- high concentration of surveillance systems driven by private companies (privatization of public space)


nsa beta surveillance meme cctv


"Smart CCTV"


- computers don't read magazines and don't get tired (24/7 focused surveillance)

- computers are cheaper than humans


How it works:

1. Image Processing

- detection of movement (pixel)

- detection/analysis of objects (is it a car, human or dog?)

- detection/analysis of position and movement in 3D space (object tracking)


2. Artificial Intelligence

- interpretation of behaviour (walking paths, velocity, action, body language, facial expression)

- interpretation of the scene (interaction, korrelation (person with luggage))

- evaluation, prediction, recommended course of action


3. Identification and Biometry

- clothing, body measurements, face, age, skincolor, gender

- they collect these data without consent! we do not give those data knowingly!


cctv data analysis


Components of Surveillance System:

- cameras and other sensors

- network infrastucture

- data storage

- connection to external information sources (for instance PRISM databases)


How can we define "normality"?

Blacklist = defining events we want to avoid (manually)


Whitelist = defining normality and filter abnormal events (based on learning software, parking lot example)


venn diagram smart surveillance



The perfect system reacts instantly, doesn't make wrong decisions or interpretations. And it doesn't exist.



1. Role of the Operator

- approval of automated decisions (excuse when it comes to ethical concerns, INDECT)


- major decisions should be based on knowledge and understanding

- the system is very complex

- training period of operators 20-25 hours (shitty job, lower educated people)

- if someone is running, operator has to react very fast

- exceeding trust in computer systems (we think computer is smarter than us)

(- operators don't see raw video, red lines, blinking dots are added to the view)



2. Data Protection and Privacy

- all pictures are personal data

- systems need lots(!) of data

- very detailed processing and analysis by machines

(example airport: people are being categorized automatically, interrogations depending on category)

- actual access and storage rights of personal data can't be tracked

- population has no evidence (Snowden)




3. Surveillance Stress and Self-Discipline

- panopticon

- surveillance is everywhere, we don't know if we are being observed right now

- people act differently, when a camera is recording them (not knowingly)

- self-disciplination ("Should I join the protest event or not?")

- climate of suspicion in entire society

- slowly, unconsciously we are trained to accept the state and corporations as authorities

--> we stop demanding democracy! (example: German survey mobile phone vs. right to vote)

- "temporary backwards surveillance" (they know, what you did 2 years ago, but you don't know it anymore)

- asymmetry of information (companies, governments, military have the data)

- example: videosurveillance in schools inhibits communication between students



4. Discrimination

- system decides most based on categories, not on content

- "learning software" = categorization is more and more intensified

(learning machines don't become more and more differentiated, they improve in a special direction)

- discrimination is splitting society (example: Ferguson)

+ problem of quantity becomes a problem of quality (many cameras collect a lot of footage and break many laws)


Benjamin Kees: (German only)

"Surveillance by Design" Symposium


All of this happens secretly.

One of the most important efforts is secrecy.

The discussion of this issue is being burked (one-directional mainstream media).

Surveillance doesn't hurt. We can't imagine the influence on us and on our future.

Programmers are not interested in political issues (Benjamin: critic view is avoided in universities).




= EU research project:
internet and any other kinds of data with drone technology combined - and automated.


- INDECT research period 2009-2013

- European univeristies and private corporations

(-should also strengthen marketability of companies located in the EU")

- EU spent 1,4 Billion € for projects like INDECT until 2013




Goals of Research:

- platform for storage and exchange of data and multi-media content

- intelligent processing of all data

- automatic threat detection

- abnormal behaviour detection

- object detection and tracking of "mobile objects" (= cars)

- analysis of social relationships (Social Media)

- face recognition, recognition and processing of facial expressions

- audio detection and processing

- text analysis and datamining of web content

- water-marking and tracking of multi media contents (leak: who recorded and uploaded the video?)

- new type of search engine, which is able to track multi media contents and and read meta-data (water-marking)

- prototype of a integrated network-based system to support police operations

and the use of "mobile objects" (= drones) (drones with cameras and chemical sensors)



surveollance social media



"full situational awareness"

real world threat detection + data/communication threat detection + executive forces = one godlike system

there are lots of similar EU-Projects:


"the focus is the security of the system itself"


INDECT quick explanation video on youtube


renault twingo

Economic Surveillance


Self-Promotion and Surveillance

One big problem is the fact, that we give out our data in order to promote ourselves.

- Post Industrial Society (Cognitive Capitalism)

- Toyotism: flexible time management, no permanent employment, privatization of risk

- precarious work situations -> competition -> need for self-promotion

(+ "private fun": Individualization, we are all stars on facebook)


zombie apocalypse meme


What are the profits for corporations?

"Age of Information" after "Age of Oil"

--> less ressources --> fight for ressources --> need of surveillance --> information = most important value

Companies trade surveillance technology as well as the data.


1. Targeted Advertising

- consumer data (such as search requests in search engines or mentioned interests on social media)

are used to improve advertising and gain profits

- I guess I don't really have to explain this...?




2. Scoring

- scoring companies collect personal data to calculate score of each one of us

- of course they use any surveillance data they get (see above)

- bank card, creditcard, paypal, payback --> do they eat organic? do they drink alcohol?...

- 2003 a scoring company drove around in Germany, mapping wealthy and poor neighbourhoods

- Score = value of the individual for the economy

- costs for loans, health insurance (privatized), insurances, and a lot more depend on your score

- fully automated, you can't see, that there is another kind of reality:

example: payment options on Amazon (poor people just don't see a "cash on delivery" button)

- you pass on your score to your children

- "being poor is expensive", widens the gap between rich and poor






3. Manager Software (workplace surveillance)

- automated surveillance of employees for maximizing profits

- data is used to filter the most effective and most uneffective employee

--> promotions and layoffs based on computer calculation

- video/audio, text communication (email, social media), keyboard hits per second,...

(do employees have contacts to competitor companies? could the woman get pregnant?)

- new employees often sign a clause in their labor contracts, which allows this kind of surveillance

- spy-programs on laptops (yes, you can use the computer also for yourself and take it home with you..")

- use of video surveillance to construct reasons for a layoff

(example: LIDL employee gets fired because she charged her mobile phone, Czech Republic)

- pressure of competition: companies must use surveillance to stay competitive


workplace surveillance meme



We all are under surveillance.

Most people don't know it (or don't know about the impact on their lives).

Political activists are very aware of this issue though.



e-book (direct download): Prevent and Tame - Protest under Selfcontrol


- knowledge of surveillance > fear and discipline > reduces protest

(conspiracy theory: "Snowden doesn't exist.")

- government agencies collect and store data on political activities

- request personal information in Germany (example: "person went to a leftist party")


-> observation, tracking and control of anti-capitalist-activists

(= anyone who joins the protest against:

- nuclear power
- factory farming
- animal testing
- speculation in food
- genetic engeneering/monsanto
- arms trade
- surveillance
- gentrification
- privatization of water
- fracking
- child labor
- slave labor
- mass layoffs
- wage dumping
- drilling for oil in the arctis
- any kinds of environmental polluion
- cut down the rainforests
- climate change
- whale killing
- lobbyism
- bank rescue
- censorship on the internet
- several wars
+ lots of other industrial exploitation issues...)

protest map 1979


- and terrorists.