MG Lola EX265C racecar in the final round of the 2008 Le Mans Series at Silverstone last weekend
 Pictured is the upgraded, new look, MG Lola EX2 65C racecar 
Principal sponsor, CCTV specialist, AD Group and racing team RML are delighted with the performance of the comprehensively upgraded, new look, MG Lola EX265C racecar in the final round of the 2008 Le Mans Series at Silverstone last weekend, where it ran to fourth place in the LMP2 class on its first competitive appearance.

The external and internal changes including, most notably, a closed-cockpit are all designed to help the 2007 LMP2 class winners remain competitive, and at the forefront of racecar development, so they are in the best possible position to challenge for the title in 2009.

In the six-hour endurance race, that was punctuated by dramatic incidents and thrilling nose-to-tail racing, the much-admired new coupé, driven by AD Group CEO Mike Newton and Brazilian, Thomas Erdos, performed brilliantly, rewarding the team's hard work and meticulous preparation with a reliable and extremely competitive performance.

The strong backing of AD Group to make the enhanced MG Lola EX265C a reality, in conjunction with RML and car designers Lola, is a reflection of the company's commitment to the successful application of new technology in all areas of its operations.

Said Mike Newton, commenting on the MG Lola EX265C's performance: "The guys have done an amazing job to put this car together so quickly, and to achieve a trouble-free run is exceptional."  The team had always approached the Silverstone 1000 Kilometres as an extended, if very public, test session, but poor weather on the previous two days had severely curtailed their on-track development.  "When you compare this to where we might have been, after the events of the last couple of days, this has got to be an excellent result," he added.

 CEO Mike Newton and Brazilian, Thomas Erdos, performed brilliantly, rewarding the team's hard work
 Pictured is the racecar before the modifications

The only issue the team encountered during the course of the race was a rise in engine temperature.  "The engine was running a little too hot," said Thomas Erdos, who drove the opening two stints in the MG Lola, and was first to detect the problem.  "We were able to de-tune it enough at the next pitstop to ensure it would run the distance, but it meant we were perhaps forty or fifty horsepower down for most of the race. In that respect, fourth is a great result."

Despite the reduction in power, which restricted the car's straight-line speed, the lap times remained competitive throughout - a testament to the aerodynamic work carried out by Lola Cars of Huntingdon, designers of the car.  "I was very pleased with the pace," admitted Mike Newton.  "Even after the de-tune, our times were still very fair."   Before climbing into the cockpit for his first stint, Mike had only managed five laps in the car, so came to the coupé very raw.   He admits to missing the ‘wind-in-your-hair' experience of the open-topped car, but his first lap proved to be four seconds faster than he'd ever managed before.

"All in all, a very pleasing first race.  We made no unscheduled stops, the car ran cleanly, the build was clearly excellent"

Adam Wiseberg, Director of Motorsport for AD Group, was well satisfied.  "We said all along that we were making this an extended test session, and as with most tests, it just got better and better," he said.  "All in all, a very pleasing first race.  We made no unscheduled stops, the car ran cleanly, the build was clearly excellent, and given some more time with it, I think we'll achieve the kind of performance we're asking for."

Phil Barker, Team Manager for RML, had praise for his crew of engineers and mechanics.  "To have got to the chequered flag in a six-hour race with a newly-built car is an achievement that I'm very pleased with.  All credit to the guys, they did a tremendous job.  It's a great start to the life of the new car, and a good basis from which we can look forward to next year."

The team now has several months of development work ahead of them in order to prepare the EX265C for a full and very competitive season in 2009.

Share with LinkedIn Share with Twitter Share with Facebook Share with Facebook
Download PDF version Download PDF version

In case you missed it

What is the best lesson you ever learned from an end user?
What is the best lesson you ever learned from an end user?

Serving customer needs is the goal of most commerce in the physical security market. Understanding those needs requires communication and nuance, and there are sometimes surprises along the way. But in every surprising revelation – and in every customer interaction – there is opportunity to learn something valuable that can help to serve the next customer’s needs more effectively. We asked this week’s Expert Panel Roundtable: what was the best lesson you ever learned from a security end user customer?

What is the impact of remote working on security?
What is the impact of remote working on security?

During the coronavirus lockdown, employees worked from home in record numbers. But the growing trend came with a new set of security challenges. We asked this week’s Expert Panel Roundtable: What is the impact of the transition to remote working/home offices on the security market?

New markets for AI-powered smart cameras in 2021
New markets for AI-powered smart cameras in 2021

Organisations faced a number of unforeseen challenges in nearly every business sector throughout 2020 – and continuing into 2021. Until now, businesses have been on the defensive, reacting to the shifting workforce and economic conditions, however, COVID-19 proved to be a catalyst for some to accelerate their long-term technology and digitalisation plans. This is now giving decision-makers the chance to take a proactive approach to mitigate current and post-pandemic risks. These long-term technology solutions can be used for today’s new world of social distancing and face mask policies and flexibly repurposed for tomorrow’s renewed focus on efficiency and business optimisation. For many, this emphasis on optimisation will likely be precipitated by not only the resulting economic impacts of the pandemic but also the growing sophistication and maturity of technologies such as Artificial Intelligence (AI) and Machine Learning (ML), technologies that are coming of age just when they seem to be needed the most.COVID-19 proved to be a catalyst for some to accelerate their long-term technology and digitalisation plans Combined with today’s cutting-edge computer vision capabilities, AI and ML have produced smart cameras that have enabled organisations to more easily implement and comply with new health and safety requirements. Smart cameras equipped with AI-enabled intelligent video analytic applications can also be used in a variety of use cases that take into account traditional security applications, as well as business or operational optimisation, uses – all on a single camera. As the applications for video analytics become more and more mainstream - providing valuable insights to a variety of industries - 2021 will be a year to explore new areas of use for AI-powered cameras. Optimising production workflows and product quality in agriculture Surveillance and monitoring technologies are offering value to industries such as agriculture by providing a cost-effective solution for monitoring of crops, business assets and optimising production processes. As many in the agriculture sector seek to find new technologies to assist in reducing energy usage, as well as reduce the environmental strain of modern farming, they can find an unusual ally in smart surveillance. Some niche farming organisations are already implementing AI solutions to monitor crops for peak production freshness in order to reduce waste and increase product quality.  For users who face environment threats, such as mold, parasites, or other insects, smart surveillance monitoring can assist in the early identification of these pests and notify proper personnel before damage has occurred. They can also monitor vast amounts of livestock in fields to ensure safety from predators or to identify if an animal is injured. Using video monitoring in the growing environment as well as along the supply chain can also prove valuable to large-scale agriculture production. Applications can track and manage inventory in real-time, improving knowledge of high-demand items and allowing for better supply chain planning, further reducing potential spoilage. Efficient monitoring in manufacturing and logistics New challenges have arisen in the transportation and logistics sector, with the industry experiencing global growth. While security and operational requirements are changing, smart surveillance offers an entirely new way to monitor and control the physical side of logistics, correcting problems that often go undetected by the human eye, but have a significant impact on the overall customer experience. Smart surveillance offers an entirely new way to monitor and control the physical side of logistics, correcting problems that often go undetected by the human eye. Video analytics can assist logistic service providers in successfully delivering the correct product to the right location and customer in its original condition, which normally requires the supply chain to be both secure and ultra-efficient. The latest camera technology and intelligent software algorithms can analyse footage directly on the camera – detecting a damaged package at the loading dock before it is loaded onto a truck for delivery. When shipments come in, smart cameras can also alert drivers of empty loading bays available for offloading or alert facility staff of potential blockages or hazards for incoming and outgoing vehicles that could delay delivery schedules planned down to the minute. For monitoring and detecting specific vehicles, computer vision in combination with video analysis enables security cameras to streamline access control measures with license plate recognition. Smart cameras equipped with this technology can identify incoming and outgoing trucks - ensuring that only authorised vehicles gain access to transfer points or warehouses. Enhance regulatory safety measures in industrial settings  Smart surveillance and AI-enabled applications can be used to ensure compliance with organisational or regulatory safety measures in industrial environments. Object detection apps can identify if employees are wearing proper safety gear, such as facial coverings, hard hats, or lifting belts. Similar to the prevention of break-ins and theft, cameras equipped with behaviour detection can help to automatically recognise accidents at an early stage. For example, if a worker falls to the ground or is hit by a falling object, the system recognises this as unusual behaviour and reports it immediately. Going beyond employee safety is the ability to use this technology for vital preventative maintenance on machinery and structures. A camera can identify potential safety hazards, such as a loose cable causing sparks, potential wiring hazards, or even detect defects in raw materials. Other more subtle changes, such as gradual structural shifts/crack or increases in vibrations – ones that would take the human eye months or years to discover – are detectable by smart cameras trained to detect the first signs of mechanical deterioration that could potentially pose a physical safety risk to people or assets. Early recognition of fire and smoke is another use case where industrial decision-makers can find value. Conventional fire alarms are often difficult to properly mount in buildings or outdoor spaces and they require a lot of maintenance. Smart security cameras can be deployed in difficult or hard-to-reach areas. When equipped with fire detection applications, they can trigger notification far earlier than a conventional fire alarm – as well as reduce false alarms by distinguishing between smoke, fog, or other objects that trigger false alarms. By digitising analogue environments, whether a smoke detector or an analogue pressure gauge, decision-makers will have access to a wealth of data for analysis that will enable them to optimise highly technical processes along different stages of manufacturing - as well as ensure employee safety and security of industrial assets and resources. Looking forward to the future of smart surveillance With the rise of automation in all three of these markets, from intelligent shelving systems in warehouses to autonomous-driving trucks, object detection for security threats, and the use of AI in monitoring agricultural crops and livestock, the overall demand for computer vision and video analytics will continue to grow. That is why now is the best time for decision-makers across a number of industries to examine their current infrastructure and determine if they are ready to make an investment in a sustainable, multi-use, and long-term security and business optimisation solution.