AI Collision Avoidance and Watchkeeping for Yachts

AI collision avoidance systems can support yacht watchkeeping by highlighting vessels, floating objects and other potential hazards. Camera analysis can draw attention to a target that deserves investigation, while connected instrument data may help the crew assess its movement. The value is an additional source of information for the watchkeeper.

The term collision avoidance covers different functions. Some systems detect objects and issue warnings; others estimate collision risk or suggest action. A system connected to steering introduces a further level of control. The skipper must establish which functions are fitted, what their limits are and how the yacht remains manageable when they fail.  This chapter of the AI for Sailboats and Yachts guide explains how AI can assist the lookout while preserving observation, collision assessment and timely action by the crew.

AI Collision Avoidance - Understand what the system actually does

Object detection identifies something in a sensor image. Classification assigns a label, such as vessel or buoy. Tracking follows it across successive observations. Collision assessment then needs relevant movement information and an understanding of the yacht’s own motion.

These stages are related, but they are not interchangeable. A box drawn around a vessel does not establish its course, speed, intentions or collision risk. A displayed range may be measured by a sensor or estimated by software; the distinction matters.

Check the documentation for the installed system. Determine whether it provides detection, tracking, risk warnings, manoeuvring advice or control. Do not assume that a product described as collision avoidance will turn the yacht away from an obstacle.

AI Collision Avoidance - Use cameras as an additional lookout aid

Optical cameras provide visible-light images, while thermal cameras detect infrared radiation. Appropriate equipment can assist observation at night or when visual contrast is poor. The AI analyses those images to identify features it has been designed to recognise.

SEA AI’s Watchkeeper is an example of a marine system marketed for AI-assisted object detection. LOOKOUT describes hazard detection and tracking, with integration of camera, AIS, chart and radar information. These examples demonstrate different sources that can contribute to the watchkeeper’s picture; their published descriptions do not establish performance on every yacht or in every condition.

Detection depends on the target, camera, installation and conditions. Ask which capabilities apply to the actual configuration aboard, rather than transferring a claim from another model or demonstration.

AI Collision Avoidance - Understand coverage and visibility limits

A camera sees within its field of view. Rigging, sails, sprayhoods, deck equipment or the vessel’s own structure can obscure that view. A forward camera does not establish that the sectors astern and abeam are clear.

Heel, pitching and rolling change the image. Stabilisation or motion compensation may help, but their limits need testing on the yacht. Mounting height, alignment and vibration can affect what is visible and how targets are tracked.

Spray, salt deposits, glare, rain and fog can degrade images. Thermal imaging does not provide unrestricted vision through dense fog or every weather condition. Low objects may be intermittently hidden by waves, and submerged hazards remain outside a surface camera’s view. An absence of detections means no targets were reported under the system’s operating conditions. It does not prove that the water is clear.

AI Collision Avoidance -Combine information without assuming agreement

AIS can provide transmitted vessel identity and movement information, but not every vessel transmits, and floating debris does not carry an AIS transmitter. Received data also needs checking for age and plausibility.

Radar supplies a different source of observations, although target visibility depends on equipment, settings, range, sea conditions and the object itself. Camera information can complement radar and AIS; it does not establish that either can be dispensed with.

When software combines these sources, check how it matches targets. A camera label beside an AIS symbol may be a software association rather than a confirmed identification. If positions disagree or a track disappears, investigate using the original sensor displays and direct observation. Integration improves access to information only when the crew understands what each display element represents.

AI Collision Avoidance - Maintain the proper lookout

The IMO overview of COLREG’s explains that Rule 5 requires a proper lookout using sight, hearing and appropriate available means. Rule 6 addresses safe speed, and Rule 7 warns against assumptions based on scanty information when assessing collision risk.

An AI system does not justify leaving the watch unattended or accepting a speed inappropriate for visibility and traffic. An alarm cannot replace regular observation of all relevant sectors and attention to sound signals.

On a short-handed yacht, the equipment may provide another cue during a demanding watch. Watch arrangements must still allow the crew to observe, assess and act. A capability to detect some targets at night is not a basis for planning sleep while the yacht proceeds without an effective lookout.

AI Collision Avoidance - Assess targets and verify the result of action

When an alert occurs, locate the target and assess it using the available means. Establish whether it is a vessel, stationary object, navigation mark or uncertain contact. Repeated observations are more informative than a single classification.

Closest point of approach and time to closest point of approach, where displayed, depend on the quality of position and movement data and the assumptions used. They can change when either vessel manoeuvres. Check their meaning and avoid treating a precise number as a guarantee.

A hypothetical crossing vessel may trigger a warning based on its present motion. The skipper still needs to establish the encounter, relevant rules, available sea room and other traffic before choosing action. Keep the target under observation afterwards to confirm that the action is having the intended effect.

Do not wait for a conversational assistant to interpret a developing close-quarters situation. AI can support scenario training before the passage; real-time watchkeeping requires timely assessment and action.

Your Complete Onboard Repair Resource

Why not get a copy of my book The Marine Electrical and Electronics Bible 4th Edition. In Australia, New Zealand or Asia/Pacific order a copy through Boat Books, UK and European and Mediterranean based boats can Order Here. For US, Canadian and Caribbean based boats can get the US Edition here or at Amazon. Marine systems are my profession so let me help you. 

AI Collision Avoidance -Configure alerts for the actual watch

Learn which conditions produce warnings and how they are prioritised. Detection range, warning range and usable response time may differ. Closing speed, vessel manoeuvrability and the time needed to react all affect whether an alert is early enough.

Test audible and visual warnings from the normal watch position, including with engine noise, wind and a night display setting. Establish what happens if the screen is asleep, the network disconnects or a sensor fails. Acknowledge an alert only after understanding what triggered it.

Frequent unwanted alarms can encourage routine dismissal. Review their causes and settings within manufacturer guidance. Do not suppress warnings simply to make the system quiet, or increase sensitivity without considering whether the resulting workload is usable.  Give the next watchkeeper the relevant settings and any known defects during handover.

AI Collision Avoidance -Install and commission the system on the yacht

Use the manufacturer’s installation requirements for camera placement, electrical protection, networking, cooling and calibration. Installation on a sailing yacht needs consideration of sails, heel, rig movement and access for cleaning and maintenance.

Verify heading alignment, position inputs, timestamps and the behaviour of overlays. A bearing error or delayed image can make an apparently helpful display misleading. Where an installation depends on NMEA data or a particular display, confirm compatibility for the fitted versions.

Commission under controlled conditions while maintaining normal watchkeeping. Compare reported targets with direct observation and available radar or AIS. Observe changes as the yacht turns, heels or encounters different lighting. Do not create close encounters to test collision warnings.  Record the configuration and known limits. A short demonstration establishes familiarisation, not reliability across every sea state

AI Collision Avoidance -Keep steering control and failure behaviour clear

If the system only advises, make that clear to every watchkeeper. If it can command an autopilot or steering system, its control authority and manual takeover require a separate assessment.

Establish how control is disengaged, which functions remain available after a fault and what happens when heading, position or target data is lost. Do not assume that a failed or disconnected system will always release control in the desired way.

Maintain a workable watchkeeping method without AI. Sensor data, alerts and the chart display may share the same network or power supply. Identify those common failure points and keep necessary independent equipment accessible. During a failure, restore effective observation and adapt speed and watch arrangements to the remaining capability.

AI Collision Avoidance -Preserve skills through routine use

Use AI detections as prompts to investigate rather than instructions to obey. Ask watchkeepers to explain what they have observed, how risk is being assessed and why any action is appropriate.

Continue practising target assessment, radar use where fitted, recognition of lights and shapes, and application of collision regulations. Review discrepancies between the AI display and actual observations after the watch, when doing so does not distract from navigation.

Before departure, brief the crew on coverage, alert meanings, known defects and manual control. Clean camera windows and check system status as part of the equipment routine.

Applying AI Collision Avoidance Aboard

AI collision avoidance can add useful hazard detections and warnings to yacht watchkeeping, provided the crew understands their sources and limits. Maintain a proper lookout, verify targets with the available means and confirm the effects of any avoiding action. Test installation and alerts, retain manual control and continue practising independent collision assessment. A quiet display is never proof that the passage ahead is clear. AI Collision Avoidance for all you need to know.