De African Digital Rights Network (ADRN) heeft een nieuw rapport gepubliceerd waarin de toevoer en verspreiding van digitale surveillance technologie in Afrika in kaart is gebracht. Onderzoeker Anand Sheombar van het lectoraat Procesinnovatie & Informatiesystemen is betrokken bij het ADRN-collectief en heeft samen met de Engelse journalist Sebastian Klovig Skelton, door middel van desk research de aanvoerlijnen vanuit Westerse en Noordelijke landen geanalyseerd. De bevindingen zijn te lezen in dit Supply-side report hoofdstuk van het rapport. APA-bronvermelding: Klovig Skelton, S., & Sheombar, A. (2023). Mapping the supply of surveillance technologies to Africa Supply-side report. In T. Roberts (Ed.), Mapping the Supply of Surveillance Technologies to Africa: Case Studies from Nigeria, Ghana, Morocco, Malawi, and Zambia (pp. 136-167). Brighton, UK: Institute of Development Studies.
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This paper describes the work done to track the supply chains of sur-veillance technologies from the global North to African governments for illegal surveillance of their citizens. We conducted desk research to analyse the supply side of surveillance technology exported to African countries. Our preliminary findings show nine key exporting states-actors for surveillance technologies to Africa. These are China; European Union agencies, and member states France, Germany, Italy; Israel, United Kingdom, Russia, and the United States of Amer-ica. Regarding the specific surveillance technologies being transferred, each export-ing state tends to have a focus area, both in geographic area and within the five surveillance technology categories covered by this study. The paper identified six motives for state surveillance, including the suppliers' perspective. These are: 1) surveillance as legitimacy for state security, 2) surveillance for political gain, 3) surveillance as diplomacy, 4) surveillance as a tool for development, 5) Surveil-lance as neocolonialism, and 6) surveillance as business opportunity. Further re-search is needed to deepen the analysis of surveillance technologies exports to the African continent and the human rights violations.
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African citizens are increasingly being surveilled, profiled, and targeted online in ways that violate their rights. African governments frequently use pandemic or terrorism-related security risks to grant themselves additional surveillance rights and significantly increase their collection of monitoring apparatus and technologies while spending billions of dollars to conduct surveillance (Roberts et al. 2023). Surveillance is a prominent strategy African governments use to limit civic space (Roberts and Mohamed Ali 2021). Digital technologies are not the root of surveillance in Africa because surveillance practices predate the digital age (Munoriyarwa and Mare 2023). Surveillance practices were first used by colonial governments, continued by post-colonial governments, and are currently being digitalized and accelerated by African countries. Throughout history, surveillance has been passed down from colonizers to liberators, and some African leaders have now automated it (Roberts et al. 2023). Many studies have been conducted on illegal state surveillance in the United States, China, and Europe (Feldstein 2019; Feldstein 2021). Less is known about the supply of surveillance technologies to Africa. With a population of almost 1.5 billion people, Africa is a continent where many citizens face surveillance with malicious intent. As mentioned in previous chapters, documenting the dimensions and drivers of digital surveillance in Africa is
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In veel Afrikaanse landen zien we een inperking van de maatschappelijke ruimte (‘civic space’). Deze ruimte is cruciaal om in democratische staten transparantie, vrijheid van meningsuiting en verantwoording van bestuur te realiseren. In een steeds sterke digitaliserende maatschappij wordt toegang tot digitale middelen een mensenrecht. Daar waar regeringen proberen hun burgers en organisaties dat recht tot digitale informatievoorziening en –uitwisselingen te ontnemen komen de Sustainable Development Goals in het gedrang. Doel African Digital Rights Network (ADRN) wil inzicht verkrijgen in de stakeholders ne technologieën die betrokken zijn net het openen of onderdrukken van de online maatschappelijke ruimte (‘civic space’). Het netwerk beoogt bij te dragen aam empowerment van burgers om hun digitale mensenrechten uit te oefenen. Resultaten ADRN heeft een vergelijkende studie van 10 Afrikaanse landen uitgevoerd naar het gebruik van digitale technologieën voor het openen of onderdrukken van de online maatschappelijke ruimte (‘civic space’). Het project heeft onder andere geleidt tot de volgende publicatie: Mapping the Supply of Surveillance Technologies to Africa: Case Studies from Nigeria, Ghana, Morocco, Malawi, and Zambia Looptijd 01 mei 2020 - 20 april 2021 Aanpak ADRN organiseert een netwerk van onderzoekers, analisten, digitale rechtenorganisaties en activisten om de dynamiek van het openen en onderdrukken van de digitale maatschappelijke ruimte in kaart te brengen. Het netwerk bouwt op een interdisciplinaire onderzoeksaanpak o.l.v. het Institute for Development Studies, een vooraanstaand onderzoeksinstituut. Relevantie van het project Het onderzoek leidt tot aanbevelingen voor o.a. beleidsmakers en maatschappelijke organisaties ter bevordering van de digitale maatschappelijke ruimte. Daarnaast worden digitale tools en trainingsmateriaal gefaciliteerd voor het monitoren van ontwikkelingen en dreigingen van de digitale maatschappelijke ruimte. CofinancieringDit onderzoek wordt gefinancierd door UKRI - GCRF Digital Innovation for Development in Africa (DIDA)Meer weten? UKRI GCRF: African Digital Rights Network Website ADRN
Drones have been verified as the camera of 2024 due to the enormous exponential growth in terms of the relevant technologies and applications such as smart agriculture, transportation, inspection, logistics, surveillance and interaction. Therefore, the commercial solutions to deploy drones in different working places have become a crucial demand for companies. Warehouses are one of the most promising industrial domains to utilize drones to automate different operations such as inventory scanning, goods transportation to the delivery lines, area monitoring on demand and so on. On the other hands, deploying drones (or even mobile robots) in such challenging environment needs to enable accurate state estimation in terms of position and orientation to allow autonomous navigation. This is because GPS signals are not available in warehouses due to the obstruction by the closed-sky areas and the signal deflection by structures. Vision-based positioning systems are the most promising techniques to achieve reliable position estimation in indoor environments. This is because of using low-cost sensors (cameras), the utilization of dense environmental features and the possibilities to operate in indoor/outdoor areas. Therefore, this proposal aims to address a crucial question for industrial applications with our industrial partners to explore limitations and develop solutions towards robust state estimation of drones in challenging environments such as warehouses and greenhouses. The results of this project will be used as the baseline to develop other navigation technologies towards full autonomous deployment of drones such as mapping, localization, docking and maneuvering to safely deploy drones in GPS-denied areas.
The utilization of drones in various industries, such as agriculture, infrastructure inspection, and surveillance, has significantly increased in recent years. However, navigating low-altitude environments poses a challenge due to potential collisions with “unseen” obstacles like power lines and poles, leading to safety concerns and equipment damage. Traditional obstacle avoidance systems often struggle with detecting thin and transparent obstacles, making them ill-suited for scenarios involving power lines, which are essential yet difficult to perceive visually. Together with partners that are active in logistics and safety and security domains, this project proposal aims at conducting feasibility study on advanced obstacle detection and avoidance system for low-flying drones. To that end, the main research question is, “How can AI-enabled, robust and module invisible obstacle avoidance technology can be developed for low-flying drones? During this feasibility study, cutting-edge sensor technologies, such as LiDAR, radar, camera and advanced machine learning algorithms will be investigated to what extent they can be used be to accurately detect “Not easily seen” obstacles in real-time. The successful conclusion of this project will lead to a bigger project that aims to contribute to the advancement of drone safety and operational capabilities in low-altitude environments, opening new possibilities for applications in industries where low-flying drones and obstacle avoidance are critical.
