How to *actually* take good pics at teamLab Phenomena
ICYMI teamLab Phenomena Abu Dhabi in Saadiyat Cultural District is the latest exhibition taking over the capital.
Irshowcases groundbreaking artworks by the international art collective teamLab, all of which are inspired by the balance between nature, the manufactured world and the environment.
It's got to be seen and if you do go you will 100% be wanting to get some shots for the 'gram, which may be a little overwhelming due to the lighting and everything to see.
Dw though as we've been sent tips on shooting content on Apple iPhone at the spot. Keep reading if you are heading to AD's teamLab soon.
Tips for shooting content at teamLab Phenomena by Peter Jay
Shot by Peter Jay
1. Turn on the level and grid.
The first two immersive experiences don't have a clear horizon line, which can make it tricky to get a straight shot. Enabling the level and grid helps ensure your framing is perfectly aligned. It's a simple trick, but it can save a lot of time and effort in post-processing.
2. Dealing with screen flicker in video mode.
If you notice flickering while recording video, it's likely because the lighting frequency in the room doesn't match your camera's frame rate. To fix this, head into your video settings and adjust the frame rate until the flicker disappears. Alternatively, in video mode, just tap the frame rate digits on the top right of your screen and select a better-suited value.
3. Shooting in low light with Night Mode.
In darker areas, your device may suggest a longer exposure time—sometimes 5 seconds or more. You can control the exposure length by swiping left or right to adjust it. Since much of the experience features moving light art, I recommend shortening the exposure time to avoid motion blur—unless, of course, you're going for a more abstract, artistic effect.
Tips for shooting content at teamLab Phenomena by Jerome Rafael
Shot by Jerome Rafael
1. If you're using an iPhone Pro model and shooting with a third-party app (like ProCamera), enable RAW to retain maximum detail and dynamic range.
2. Lock Focus and Exposure (AE/AF Lock) is crucial. Tap and hold your focus point until the yellow box appears. Then adjust the exposure by sliding up or down.
Tips for shooting content at teamLab Phenomena by Debbie Fortes
Shot by Debbie Fortes
1. Using the feature 'clean up' for post-processing your images, helps a lot especially if you would like to remove clutter or people in your photo.
2. Ensure it's in Live Mode – if you want the long exposure effect on your photo.
3. Preserve settings on your camera mode are also useful – making sure you are always using the last mode rather than switching to different modes or different settings of your camera. You want to make sure that you are always ready to shoot away and not worry about adjusting the settings from time to time.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Khaleej Times
an hour ago
- Khaleej Times
NMDC LTS concludes acquisition of 70% equity stake in Emdad
NMDC LTS, a wholly owned subsidiary of the NMDC Group, has completed the acquisition of a 70 per cent stake of the share capital and voting rights in Emdad, an integrated service provider specialising in the oil and gas, utilities, and industrial sectors. The transaction was financed through debt and equity. This acquisition enables NMDC Group to expand into the OPEX segment of recurring revenues in the oilfield services, further diversifying its portfolio and strengthening its competitive advantage. In parallel, this acquisition will provide NMDC Group with a broader range of services and additional avenues for revenue growth, with Emdad's offering spanning over an array of different services, including well intervention, waste management, shutdown/ turnaround, coil tubing, valves, among other services. Emdad reported revenues in excess of Dh600 million in 2024 and its equity stood at Dh217 million. Eng. Yasser Zaghloul, CEO of NMDC Group, commented: 'We are happy to complete this landmark acquisition which marks the beginning of an exciting new chapter for both organizations. Emdad stands out as an industry leader with robust capabilities and deep sector expertise. By combining its strengths with NMDC's scale and commitment to innovation, we now have a powerful platform to unlock long-term value. With diversification at its core, this integration enhances our ability to deliver broader service offerings, create greater value, and drive sustainable growth for our clients, partners, and stakeholders across the dynamic energy landscape.' Mohammed Juma Al Bawardi, CEO of Emdad, commented: 'This milestone transaction underscores the sophistication and attractiveness of the UAE's energy sector as well as the trust that NMDC has in Emdad's position as a leading service provider in the market. We are confident that through this compelling partnership, where we are now plugged into the wider NMDC platform, we will be able to chart an exciting new journey of growth. Ultimately, this collaboration will unlock deeper value for our customers and help us to achieve our shared goals for sustainable success.' The update is another further step in NMDC's strategy to drive value creation, strengthen its regional presence, and support revenue growth. It marks a leap in NMDC Group's broader expansion and diversification goals, paving the way for future innovation and leadership in the energy sector.
Khaleej Times
an hour ago
- Khaleej Times
UAE: Student develops AI system to help police detect crimes before they happen
A member of Dubai Police, and inspired researcher, has developed a homegrown system that could take crime prevention one step further — by detecting it before it happens. Dr Salem AlMarri, the first Emirati to earn a Ph.D. from the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), has designed a video anomaly detection (VAD) system capable of identifying unusual behaviour in real-time. The technology could, in theory, alert authorities to suspicious or harmful activity before a formal complaint is ever made, or even before a crime is committed. 'Today, we understand how a human or object looks and moves. But how do we understand something that breaks the pattern, [like] an anomaly?' AlMarri said in an interview with Khaleej Times. 'A person walking in a very weird manner could mean something is going on. It could be an accident, or a hazard, or a fight unfolding. Anomalies have different meanings in real life; and we're training AI to recognise them.' While the field of anomaly detection has existed for decades, AlMarri's research brings the concept into the realm of video and audio. Using AI, his model is trained to distinguish between normal and abnormal footage. For example, learning to identify when an incident like a robbery or assault is taking place, even if it unfolds in a subtle or non-violent manner. As an example, he cited a hypothetical scene where a man walks up to a cashier and asks for money, politely. 'A normal camera won't know what's happening, it will just see a generous cashier handing money to somebody.' But beneath the surface, the AI model may detect subtle cues like body posture, tone, micro-behaviours — that point to coercion or threat. The model must first 'understand what is normal and what is abnormal,' by being trained on large amounts of labelled footage, he explained. 'We need to show it footage of people just handling money in the normal fashion. And then we tell it, okay, this is where something bad happens — robbery, burglary, or whatever. It learns to tell the differences, like a human child. And if it predicts correctly, it gets rewarded.' Thousands of experiments AlMarri's research, carried out during his secondment from Dubai Police, involved thousands of training experiments using real-world datasets. To overcome a key challenge — that many videos don't clearly indicate when an abnormal event begins, he designed a new approach. 'I shuffled different segments of videos to create a custom dataset, one moment showing a road accident, the next showing people walking normally in a mall, then a street fight,' he explained, 'this way, the model learned to recognise when something shifted from normal to abnormal.' His work also tackled real-world obstacles that could hinder performance. He developed a benchmark that allows the model to function even when one input, audio or video, is corrupted. This has major implications in the UAE, where weather conditions like fog can obstruct video clarity. 'If there's heavy fog or noise distortion, many models fail. So we trained ours to rely on one modality if the other is compromised. This is crucial for environments like autonomous driving or surveillance during poor visibility,' he pointed. The flagship findings are part of his Ph.D. thesis at MBZUAI, conducted under the supervision of Professor Karthik Nandakumar in the Sprint AI lab, which focuses on security, privacy, and preservation technologies. Like father, like son AlMarri's journey is rooted in a childhood filled with invention. His father, an engineer, built a screw-free wind turbine in the 1990s, a computer interface for people with no limbs, and a digital attendance system for police officers — long before such technologies were mainstream. 'It was a personal challenge for me, to at least try to come close to his achievements, to carry on his legacy.' After joining Dubai Police in 2016 and working on robotics and drones, he pursued further education in AI to stay relevant as the department transformed into a data-driven force. 'Within the police, our department went from being a smart service department to an AI department. I felt like I was being outpaced,' he recalled. Following a master's in electrical engineering at Rochester Institute of Technology, he was selected for MBZUAI's first Ph.D. cohort in computer vision - a move he describes as transformative. "MBZUAI humbled me,' described the 30-year-old. 'I had won competitions and worked on great projects, but this was something different. I was challenged over and over. When I walked out the door, I thought I didn't know anything. But when I came into reality, I realised I had been equipped to face any challenge.' The road ahead AlMarri is now preparing to return to Dubai Police and hopes to present his work to senior leadership. While the system has not yet been implemented by the police, he believes it could have significant value.'They have done exceptionally,' he said, referring to the force's AI capabilities. '[The technology] works. It can be deployed. It's up to them how they want to use it.' He expressed confidence that Dubai Police, a recognised leader in smart policing, would be well-positioned to integrate the research. 'They've reached a high level of maturity in AI. I believe I'm returning to an entity that can make effective use of what I've worked on, and I hope to contribute to their development journey. If we have this conversation in a year, the impact will be evident,' he said confidently. As for what's next, AlMarri hopes to publish research regularly, mentor young talent, and continue innovating - always with the goal of giving back to his country. 'I've been blessed to be the first Emirati Ph.D. from MBZUAI,' he noted. 'That comes with responsibility. Research is one way to give back, not just to science, but to the UAE.'
Khaleej Times
2 hours ago
- Khaleej Times
Dubai to deploy thousands of workers to ensure cleanliness during Eid Al Adha
Dubai Municipality will deploy a field team of 2,800 engineers, supervisors, inspectors, and specialised workers to ensure public health, safety, and environmental cleanliness across public spaces, facilities, and events this Eid Al Adha. Comprehensive cleaning campaigns have already been conducted across Eid prayer grounds, public facilities, gathering points, green spaces, and main and secondary roads, Dubai Municipality said on Wednesday ahead of the long weekend that starts on June 5. 'Waste storage containers have also been strategically placed across vital areas to accommodate increased waste volumes during the holiday. The teams are responsible for overseeing field operations, supported by a fleet of 752 fully equipped vehicles and machinery,' the civic body added. Dubai Municipality noted it has increased readiness at public beaches, including those designated for night swimming such as Jumeirah 2, Jumeirah 3, and Umm Suqeim 1. Specific beaches have been allocated exclusively for families to regulate beach access and ensure that residents and visitors enjoy a safe, smooth, and fully integrated recreational experience at Dubai's beaches. The Municipality called on the public to cooperate with official guidelines to support community safety and public order. The Municipality also confirmed that its call centre will operate 24/7 throughout the holiday period. Reports or inquiries related to food safety, public health, or municipal services can be submitted via the 'Dubai 24/7' app or by calling 800 900.
