Project Overview 

Create a collision avoidance model, to take lidar data as an input for sets of cameras, identify the collision trajectories and send audio feedbacks to users. The device did not communicate with the cloud and need to treat the input on an embarked nano-computer.

Services Provided

• Hardware setup to connect cameras to Raspberry Pi.
• Use of Python Tensorflow-lite for edge optimisation.
• Data capture & labelling via React/Typescript mobile app.
• Model Optimization to increase response time.
• Compliance with healthcare and privacy regulations.

Deliverables & Benefits

• Optimized models, capable of real-time feedbacks to the user.
• High-quality analysis, with precise feedbacks based on speed, spatial position and movement.
• Independent device, running edge computation.
• Easy data capture via connection to frontend app.

Why Choose Lucid Analytics? 

With a deep understanding of life sciences and cutting-edge AI expertise, Lucid Analytics supports clients in accelerating innovation and driving impactful R&D outcomes.

Ready to Transform Your Data? 

Interested in how we can help with your next project? Contact us today to explore how data can drive your R&D success.