NNIS

Invasive Species Detection

73%

Time Saving with AI Powered Surveys

Traditional ecological surveys work well, but they are costly, labour-intensive and time-consuming.

Machine Laerning and AI Powered Ecological Surveys
AI Powered Ecological Surveys

Traditional ecological surveys are time-consuming, labour-intensive, and often limited in scope due to the need for manual data collection and visual inspection. Our vegetation management solution uses Superconductor, our AI and ML platform to reduce the time and the cost of undertaking surveys, while significantly expanding survey coverage.

Our solution uses mounted high-resolution camera systems to automatically capture imagery and footage of vegetation along transport corridors such as roads and railways. Captured footage is used to train AI models to classify habitat types or identify plant species of interest processing vast amounts of imagery seamlessly.

Your ecologists review and validate footage and imagery from anywhere and can readily share this data with teams and stakeholders.

Keen AI uses mounted high-resolution camera systems to capture and rapidly analyse vast amounts of collected data.

12x

Cheaper than traditional survey methods
Safer

Your ecologists can be anywhere, off-field, and able to accurately review, analyse and confirm class / classify species in high-resolution footage and imagery.

Increase Coverage

Ecologists can survey circa 120 miles of roadside per day, as opposed to 10 with traditional surveying methods.

Reduce Costs

Augment your ecologists with AI to reduce your costs for undertaking ecological surveys by up to 70%.

Talk to us about NNIS

The use of AI to rapidly analyse vast amounts of collected imagery delivers safety and cost benefits to linear infrastructure vegetation asset managers. Such work currently requires the temporary closure of roads to ensure the safety of surveyors.

From our joint case study with UKCEH, we estimated costs associated with this to be up to nearly £6000 per week covering 50 miles. An ecologist supported by our system could remotely survey 120 miles (20 mph for 6 hrs) without road closures. This is a cost per mile of £9 vs. £116. Read our case study here.

Our pioneering approach to vegetation management is scalable and saves time while significantly reducing survey costs, increasing coverage, and helping prioritise resources.